Electronic product information security transmission protocol optimization method and system

Abstract

The invention relates to the technical field of electronic product information security transmission, and discloses an electronic product information security transmission protocol optimization method and system, and the method comprises the steps: carrying out the importance grading of a data verification task in electronic product information transmission, and judging whether an electronic product is in a processing pressure state or not according to the operation state information of the electronic product. If the data verification task is in the processing pressure state, the data verification task with the high importance level is executed preferentially, and warning information is sent out when the data verification task with the high importance level cannot be completed. According to the method, the problems that in the prior art, when multiple factors such as complex environment interference, system resource limitation and manual operation errors are superposed, the information security transmission protocol optimization and protection capability of an electronic product are seriously influenced, so that the security intensity is weakened, and serious security vulnerabilities which are difficult to perceive directly are formed are effectively solved.

Description

Technical Field

[0001] This invention relates to the field of information security transmission technology for electronic products, and in particular to a method and system for optimizing information security transmission protocols for electronic products. Background Technology

[0002] In open network environments, the data transmission of electronic products faces security threats such as theft and tampering. While traditional encryption protocols offer a degree of protection, they often suffer from drawbacks such as heavy computational burden and insufficient attack resistance. For example, in smart home environments, the smart home gateway, as a core device, needs to periodically exchange data with various smart devices. This data includes user habits, environmental monitoring data, device status, and security video footage. To ensure the confidentiality, integrity, and availability of this important data in open networks, smart home gateways typically employ secure information transmission protocols. However, in existing technologies, when electronic products face a combination of factors such as complex environmental interference, limited system resources, and human error, the optimization and protection capabilities of their secure information transmission protocols are severely affected.

[0003] Specifically, when a smart home gateway faces intermittent broadband electromagnetic interference, noise on the wireless channel increases significantly, causing signal quality to fluctuate, leading to high packet loss rates and out-of-order data packets. This unstable communication environment puts continuous pressure on the gateway's internal protocol processing modules, especially those responsible for the multi-layered data verification architecture, where internal buffering and data packet processing resources become constantly strained. To prevent a complete system shutdown, the module's anomaly handling mechanism may selectively skip some non-core verification steps, such as temporarily suspending repeated hash checks or reducing the stringency of secondary integrity checks, thereby ensuring basic communication continuity under extreme loads, but also weakening security capabilities.

[0004] Furthermore, if technicians, after diagnosing network connectivity issues, neglect to restore the system clock synchronization mode to automatic and fail to disable detailed debug log output, the gateway's central processing unit (CPU) will face dual pressure. On one hand, there's the computational burden from continuous timeout retransmissions and out-of-order packet processing; on the other hand, there's the additional recording and storage overhead from detailed debug logs. These two factors combined keep the CPU under high load for extended periods, slowing down the protocol processing thread's response time. Simultaneously, system clock drift can cause the replay attack prevention window based on precise timestamps to fail, leading to legitimate negotiation requests being incorrectly identified as replay attacks. After multiple consecutive negotiation failures, the system may automatically downgrade to a lower-strength, more compatible older negotiation mode with a key strength far lower than the standard mode.

[0005] The combined effect of a series of factors, including environmental interference, internal system resource competition, and human negligence, weakens the overall security of electronic product information security transmission protocols. The reduced strength of session keys generated by the old negotiation mode after system downgrading makes it easier for attackers to obtain keys. Simultaneously, data verification downgrades triggered by high system load prevent the system from effectively identifying malicious data in the face of genuine tampering attacks. This combined degradation of security capabilities renders the electronic product's information security transmission protocol ineffective, creating a serious security vulnerability that is difficult to detect directly.

[0006] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0007] This invention provides a method and system for optimizing information security transmission protocols in electronic products. It aims to address the problem that the optimization and protection capabilities of information security transmission protocols in existing electronic products are severely affected by multiple factors such as interference from complex environments, limited system resources, and human error, resulting in weakened security strength and the formation of hard-to-detect security vulnerabilities.

[0008] The technical solution of this application is as follows: In a first aspect, this application discloses a method for optimizing information security transmission protocols in electronic products, including: Classify the importance of data verification tasks in electronic product information transmission by level; Acquire the operating status information of electronic products, and determine whether the electronic products are under stress based on the operating status information; If so, then data verification tasks with higher importance levels will be executed first; A warning message is issued when a high-importance data validation task cannot be completed.

[0009] Through this technical solution, this application can intelligently adjust the data verification strategy according to the operating status of electronic products, prioritize the verification of key data under pressure, and provide timely warnings when verification cannot be completed. This effectively improves the resilience of electronic products in information security transmission under complex environments and solves the problem of reduced security protection capabilities of traditional protocols under extreme loads.

[0010] Furthermore, in one implementation, if so, the step of prioritizing the execution of data verification tasks with higher importance levels includes: Key indicators for obtaining the wireless communication environment and system operating status of electronic products; Based on key indicators of the wireless communication environment and system operating status, assess the deterioration trend of the wireless communication environment and system load, and generate early warning signals; When a warning signal is received, adjust the anti-replay window of the key negotiation mechanism in the electronic product.

[0011] Through this technical solution, this application can effectively resist replay attacks by monitoring the communication environment and system load in real time, providing early warnings and dynamically adjusting the anti-replay window of the key negotiation mechanism, thereby enhancing the security of the protocol in unstable environments.

[0012] Based on the above, this application also proposes an optimization method for information security transmission protocols in electronic products, wherein, if so, the step of prioritizing the execution of data verification tasks with high importance levels includes: Key indicators for obtaining the wireless communication environment and system operating status of electronic products; Based on key indicators of the wireless communication environment and system operating status, assess the deterioration trend of the communication environment and system load, and generate early warning signals; When an early warning signal is received, resource scheduling and protocol policy adjustment are initiated. Resource scheduling and protocol policy adjustment include prioritizing resources for high-importance data verification tasks and adjusting the anti-replay window of the key negotiation mechanism in electronic products. Report early warning signals, resource scheduling, and protocol strategy adjustments to the management platform.

[0013] Through this technical solution, this application can not only provide early warning and adjust the anti-replay window, but also immediately initiate resource scheduling and protocol policy adjustment upon receiving a warning signal, prioritizing resources for high-importance data verification tasks and reporting the relevant situation to the management platform, thereby achieving more comprehensive security protection and management and effectively avoiding security vulnerabilities caused by system degradation.

[0014] More specifically, in some implementation schemes, the steps of reporting early warning signals, resource scheduling, and protocol policy adjustments to the management platform include: Detect the signal quality and data packet retransmission rate of the conventional communication channels of electronic products; When the signal quality of the regular communication channel remains below a preset first threshold or the data packet retransmission rate remains above a preset second threshold for an extended period, the backup communication channel is activated. Through the backup communication channel, a core security status information report containing early warning signals, resource scheduling, and protocol policy adjustments is sent. Digitally sign core security status information reports; Adjust the sending frequency and content granularity of the core security status information report based on the available bandwidth of the backup communication channel and the importance of the core security status information report.

[0015] Through this technical solution, this application can ensure that core security status information can be reliably and securely transmitted to the management platform when the regular channel is damaged by activating the backup communication channel and digitally signing the report. Furthermore, it can flexibly adjust the report sending strategy according to the actual situation, thereby further improving the reliability and security of information transmission in emergency situations.

[0016] Preferably, this application discloses a method for optimizing information security transmission protocols for electronic products, wherein the step of classifying the importance level of data verification tasks in information transmission of electronic products includes: Obtain information on the source, destination, information type, communication anomaly patterns, and security threats of the data stream; The importance level of the data verification task is assessed and adjusted based on the source, destination, information type, communication anomaly patterns, and security threat information obtained from the data stream.

[0017] Through this technical solution, this application can comprehensively consider multi-dimensional information, dynamically evaluate and adjust the importance of data verification tasks, make resource allocation more reasonable, ensure that critical data is given priority protection in complex and ever-changing environments, and effectively improve the accuracy of security protection.

[0018] Based on this, this application also proposes a method for optimizing information security transmission protocols for electronic products. The method includes the step of assessing and adjusting the importance level of a data verification task based on the source, destination, information type, communication anomaly patterns, and acquired security threat information of the data stream. Based on the source, destination, information type, communication anomaly patterns, and security threat information of the data stream, a preliminary priority assessment is conducted to obtain a provisional priority list; To acquire operational status information and wireless communication environment information of electronic products; Based on the operating status information of electronic products and the wireless communication environment information, determine whether the electronic products are under high load. When electronic products are under high load, the data verification task with the highest importance is selected according to the temporary priority list, and a deep priority evaluation is performed to obtain a new priority list. The new priority list will be selectively applied based on the differences between the new priority list and the temporary priority list, as well as the resource availability of electronic products.

[0019] Through this technical solution, this application can perform in-depth priority assessment of the most important data verification tasks under high load conditions, and selectively apply a new priority list based on the assessment results and resource conditions. This allows for more refined optimization of resource allocation when resources are limited, ensuring that the most critical security tasks are protected and avoiding a decline in overall security protection capabilities due to insufficient resources.

[0020] Furthermore, in one implementation, the step of performing a deep priority evaluation to obtain a new priority list includes: Based on operational status information and wireless communication environment information, assess the resource availability of electronic products; When the resource availability of electronic products is lower than the preset third threshold, the verification tasks with high computational complexity are processed according to the temporary priority list to generate a new priority list.

[0021] Through this technical solution, this application can prioritize processing computationally complex verification tasks in scenarios with low resource availability, thereby enabling more effective deep priority evaluation under limited resources, ensuring that the priority of critical verification tasks is reasonably adjusted, and further optimizing resource utilization efficiency.

[0022] Based on the above, this application also proposes an optimization method for information security transmission protocols of electronic products. The method includes the step of processing computationally complex verification tasks according to a temporary priority list to generate a new priority list when the resource availability of the electronic product is lower than a preset third threshold. Evaluation time limits for identifying high-complexity verification tasks; Obtain the currently available computing resources and processing power of electronic products; Based on the evaluation timeframe, available computing resources, and processing capabilities, determine the minimum evaluation accuracy and maximum processing time for high-complexity verification tasks. When the estimated processing time of a computationally complex verification task exceeds the maximum processing time, the evaluation accuracy of the verification task will be adjusted to the minimum evaluation accuracy. When the evaluation accuracy of a computationally complex verification task has reached the minimum evaluation accuracy and the expected processing time still exceeds the maximum processing time, the evaluation result of the verification task is marked as uncertain, and the corresponding priority is reduced to the lowest priority in the temporary priority list to generate a new priority list.

[0023] Through this technical solution, this application can ensure that the evaluation is completed within the specified time limit by dynamically adjusting the evaluation accuracy and processing time for verification tasks with high computational complexity when resources are limited. If it is still impossible to complete, it is marked as uncertain and its priority is reduced, thereby avoiding the impact on the overall security protection due to the exhaustion of resources by a single complex task and improving the robustness of the system.

[0024] Preferably, this application discloses a method for optimizing an electronic product information security transmission protocol, wherein the step of marking the evaluation result of the verification task as uncertain and reducing the corresponding priority to the lowest priority in the temporary priority list to generate a new priority list includes: Obtain the data type of the verification task; Retrieve the preset security impact level corresponding to the data type; Determine whether the data type is user privacy data or critical device control instructions; When the data type is user privacy data or critical device control instructions, the evaluation result of the verification task is marked as uncertain, the corresponding priority is reduced to the lowest priority in the temporary priority list, and an exception handling process for uncertain verification tasks is initiated. The exception handling process includes recording detailed context information of the verification task and sending an emergency alarm to the management platform containing the verification task type, data flow characteristics, and preset security impact level.

[0025] Through this technical solution, this application can immediately initiate an anomaly handling process and send an emergency alarm when the evaluation result is uncertain for verification tasks involving user privacy or critical equipment control commands, thereby ensuring the security of sensitive data and critical operations, effectively preventing potential security risks, and improving the system's security response capabilities.

[0026] Secondly, this application also discloses an electronic product information security transmission protocol optimization system, comprising: The classification end is used to classify the importance level of data verification tasks in the information transmission of electronic products; The judgment end is used to obtain the operating status information of electronic products and determine whether the electronic products are under pressure based on the operating status information. The warning terminal is used to prioritize high-priority data verification tasks if the condition is met; if a high-priority data verification task cannot be completed, a warning message is issued.

[0027] This application provides a system-level solution through a modular design, enabling intelligent division of data verification tasks, real-time judgment of operating status, and priority execution and warning of high-importance tasks, thereby effectively improving the overall optimization and protection capabilities of electronic product information security transmission protocols. Beneficial effects

[0028] The method and system for optimizing information security transmission protocols in electronic products disclosed in this application classify data verification tasks in electronic product information transmission according to their importance levels and determine whether the electronic product is under processing pressure based on its operating status information. If it is under processing pressure, high-importance data verification tasks are prioritized, and a warning message is issued when high-importance data verification tasks cannot be completed. This method effectively solves the problem in the prior art where the optimization and protection capabilities of information security transmission protocols are severely affected by multiple factors such as complex environmental interference, limited system resources, and human error, leading to weakened security strength and serious security vulnerabilities that are difficult to detect directly. Through this technical solution, this application can intelligently adjust the data verification strategy according to the operating status of the electronic product, prioritizing the verification of critical data when the system faces processing pressure, and avoiding a decline in overall security protection capabilities due to insufficient resources. Meanwhile, when a high-importance task cannot be completed, a timely warning message is issued, enabling the system to respond quickly and take measures. This effectively enhances the resilience of electronic products in information security transmission under complex and ever-changing environments, ensuring the confidentiality, integrity, and availability of data transmission, and overcoming the shortcomings of weakened security protection capabilities in existing technologies. Attached Figure Description

[0029] Figure 1 This is a flowchart of an electronic product information security transmission protocol optimization method provided by an embodiment of the present invention; Figure 2 This is a flowchart of a method for prioritizing the execution of data verification tasks with high importance levels, provided by an embodiment of the present invention. Figure 3 This is a schematic diagram of the structure of an electronic product information security transmission protocol optimization system provided in an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Reference Figure 1 , Figure 1 This is a flowchart of an electronic product information security transmission protocol optimization method provided by an embodiment of the present invention, including: S11, classify the importance level of data verification tasks in electronic product information transmission; S12, acquire the operating status information of the electronic product, and determine whether the electronic product is under pressure based on the operating status information; S13, if so, then prioritize the execution of data verification tasks with higher importance levels; S14, when the high-importance data verification task cannot be completed, a warning message is issued.

[0032] In open network environments, the data transmission of electronic products faces security threats such as theft and tampering. While traditional encryption protocols offer a degree of protection, they often suffer from drawbacks such as heavy computational burden and insufficient attack resistance. For example, in smart home environments, the smart home gateway, as a core device, needs to periodically exchange data with various smart devices. This data includes user habits, environmental monitoring data, device status, and security video footage. To ensure the confidentiality, integrity, and availability of this important data in open networks, smart home gateways typically employ secure information transmission protocols. However, in existing technologies, when electronic products face a combination of factors such as complex environmental interference, limited system resources, and human error, the optimization and protection capabilities of their secure information transmission protocols are severely affected.

[0033] Specifically, when a smart home gateway faces intermittent broadband electromagnetic interference, noise on the wireless channel increases significantly, causing signal quality to fluctuate, leading to high packet loss rates and out-of-order data packets. This unstable communication environment puts continuous pressure on the gateway's internal protocol processing modules, especially those responsible for the multi-layered data verification architecture, where internal buffering and data packet processing resources become constantly strained. To prevent a complete system shutdown, the module's anomaly handling mechanism may selectively skip some non-core verification steps, such as temporarily suspending repeated hash checks or reducing the stringency of secondary integrity checks, thereby ensuring basic communication continuity under extreme loads, but also weakening security capabilities.

[0034] Furthermore, if technicians, after diagnosing network connectivity issues, neglect to restore the system clock synchronization mode to automatic and fail to disable detailed debug log output, the gateway's central processing unit (CPU) will face dual pressure. On one hand, there's the computational burden from continuous timeout retransmissions and out-of-order packet processing; on the other hand, there's the additional recording and storage overhead from detailed debug logs. These two factors combined keep the CPU under high load for extended periods, slowing down the protocol processing thread's response time. Simultaneously, system clock drift can cause the replay attack prevention window based on precise timestamps to fail, leading to legitimate negotiation requests being incorrectly identified as replay attacks. After multiple consecutive negotiation failures, the system may automatically downgrade to a lower-strength, more compatible older negotiation mode with a key strength far lower than the standard mode.

[0035] The combined effect of a series of factors, including environmental interference, internal system resource competition, and human negligence, weakens the overall security of electronic product information security transmission protocols. The reduced strength of session keys generated by the old negotiation mode after system downgrading makes it easier for attackers to obtain keys. Simultaneously, data verification downgrades triggered by high system load prevent the system from effectively identifying malicious data in the face of genuine tampering attacks. This combined degradation of security capabilities renders the electronic product's information security transmission protocol ineffective, creating a serious security vulnerability that is difficult to detect directly.

[0036] To address this issue, this application proposes a method for optimizing information security transmission protocols in electronic products. This method categorizes data verification tasks during information transmission by importance and determines whether the product is under processing pressure based on its operational status. If under pressure, high-importance data verification tasks are prioritized. If a high-importance data verification task cannot be completed, a warning message is issued. This method aims to solve the problem of limited optimization and protection capabilities of information security transmission protocols in electronic products under complex environments, thereby improving the information security protection capabilities of electronic products when facing resource constraints or environmental interference.

[0037] The proposed method for optimizing electronic product information security transmission protocols aims to enhance the information security protection capabilities of electronic products in complex environments. "Data verification tasks" refer to a series of verification operations performed during data transmission to ensure data integrity, authenticity, and confidentiality, such as hash verification, digital signature verification, and Message Authentication Code (MAC) calculation. The execution of these tasks is crucial to preventing data tampering or forgery. "Importance level classification" assigns different priorities to different data verification tasks based on factors such as the sensitivity of the data flow, business criticality, and potential security threats, ensuring priority protection of critical data when resources are limited. "Operating status information" includes, but is not limited to, system performance indicators such as CPU utilization, memory usage, network bandwidth, and I / O throughput, as well as communication quality indicators such as signal strength, signal-to-noise ratio, and packet loss rate in the wireless communication environment. "Processing pressure state" refers to the state where the electronic product's processing capacity is approaching or reaching its limit due to resource constraints, harsh environments, or heavy workloads.

[0038] In the embodiments of this application, the method for optimizing the information security transmission protocol of electronic products includes the following steps: First, the importance of data verification tasks in electronic product information transmission should be prioritized. This prioritization can be achieved in several ways. For example, a set of rules can be predefined to perform an initial priority assessment of data verification tasks based on factors such as the source of the data stream (e.g., sensor data, user input, control commands), destination (e.g., cloud server, local storage, other devices), information type (e.g., privacy data, device status, firmware updates), communication anomaly patterns (e.g., frequent retransmissions, connection interruptions), and potential security threat information (e.g., known attack patterns, vulnerability scan results). Another approach is for system administrators to manually configure the importance levels of different data verification tasks according to business needs and security policies. For example, verification tasks for critical data involving user privacy or device control can be marked as high importance; while verification tasks for non-critical log data or statistical information can be marked as low importance.

[0039] Secondly, the operating status information of the electronic product is acquired, and based on this information, it is determined whether the electronic product is under processing pressure. The operating status information of the electronic product can be acquired through various sensors and system monitoring modules. For example, hardware indicators such as CPU load rate, memory usage, network interface traffic, battery level, and temperature can be monitored in real time. Simultaneously, software-level information, such as process activity, thread blocking status, and file system I / O latency, can also be acquired. Determining whether the electronic product is under processing pressure can be achieved by comparing this real-time acquired operating status information with preset thresholds. For example, when CPU utilization exceeds 80% for a continuous period, or when available memory falls below a certain percentage, the electronic product can be determined to be under processing pressure. Furthermore, historical data can be analyzed, and machine learning models can be used to predict whether the electronic product is about to enter a processing pressure state.

[0040] Secondly, if so, high-priority data verification tasks will be prioritized. When an electronic product is determined to be under processing pressure, the system will adjust the execution order and resource allocation of data verification tasks based on the previously assigned importance levels. For example, the execution frequency of low-priority data verification tasks can be paused or reduced, allocating more CPU time, memory, and network bandwidth to high-priority data verification tasks to ensure these critical tasks can be completed in a timely manner. Specifically, the system can maintain a task queue, which will be dynamically sorted according to the importance level of tasks when under processing pressure, ensuring that high-priority tasks are always at the front of the queue. Furthermore, a more aggressive resource scheduling strategy can be adopted, such as reserving dedicated processing cores or memory areas for high-priority tasks.

[0041] Finally, an alert is issued when the high-priority data verification task cannot be completed. Even if the system has prioritized high-priority data verification tasks, in extreme cases, due to severe resource scarcity or exceptionally harsh external environments, these tasks may still fail to complete on time. In this case, the system triggers an alert mechanism. The alert message can take various forms, such as displaying a warning prompt on the user interface of an electronic product, issuing an audible alarm via a buzzer, sending a notification message to the management platform, or sending an emergency notification to the administrator via SMS / email. The alert message may include the specific reason for the task failure, the affected data types, the current system status, and suggested countermeasures so that the administrator can intervene promptly.

[0042] The proposed method for optimizing information security transmission protocols for electronic products effectively solves the problem of limited optimization and protection capabilities of information security transmission protocols for electronic products in complex environments by introducing a data verification task importance level classification mechanism and dynamically adjusting it in conjunction with the operating status of electronic products.

[0043] Specifically, traditional electronic product information security transmission protocols suffer significant degradation in their optimization and protection capabilities when faced with a confluence of factors, including complex environmental interference, limited system resources, and human error. For instance, when a smart home gateway experiences intermittent broadband electromagnetic interference, noise on the wireless channel increases significantly, leading to fluctuating signal quality and consequently high packet loss rates and out-of-order data packets. This unstable communication environment places continuous pressure on the gateway's internal protocol processing modules, particularly those responsible for multi-layered data verification architectures, causing persistent strain on their internal buffering and data packet processing resources. To prevent complete system failure, the module's anomaly handling mechanism might selectively skip non-core verification steps, such as temporarily suspending duplicate hash checks or reducing the stringency of secondary integrity checks, thus ensuring basic communication continuity under extreme loads, but at the cost of weakened security capabilities.

[0044] This application categorizes data verification tasks in electronic product information transmission by importance, enabling the system to identify and differentiate the criticality of different data verification tasks. When an electronic product acquires its own operational status information and determines that it is under processing pressure, the system can intelligently prioritize the execution of high-importance data verification tasks, thereby maximizing the security and integrity of core data under limited resources. This dynamic priority adjustment mechanism avoids the problem of traditional methods blindly degrading all verification tasks under high system load, which could lead to security risks for critical data. Furthermore, when high-importance data verification tasks still cannot be completed, the system will promptly issue warning messages, allowing administrators to respond quickly and take measures to prevent potential security vulnerabilities from being exploited.

[0045] Compared to existing technologies, the core innovation of this application lies in its dynamic, adaptive security protocol optimization strategy based on importance level and operational status. Existing technologies often employ static protocol configurations or simple degradation mechanisms, failing to make fine-grained adjustments based on real-time environmental changes and resource conditions. This application introduces an importance-level classification for data verification tasks, enabling the system to selectively protect critical tasks when facing processing pressure, rather than indiscriminately reducing all security protection levels. This strategy not only enhances the resilience of electronic products in harsh environments but also ensures that the most important data security is prioritized when resources are limited. For example, in the scenario of a smart home gateway, when network conditions deteriorate and system load increases, the method of this application can ensure that verification tasks for user privacy data and device control commands are completed first. Even if verification tasks for other non-critical data are delayed or downgraded, it will not affect core security. This fine-grained management and response mechanism significantly improves the robustness and reliability of electronic product information security transmission protocols.

[0046] In some embodiments described above, this application proposes prioritizing high-importance data verification tasks when electronic products are under processing pressure. However, in practical applications, simply prioritizing tasks may not be sufficient to comprehensively address complex processing pressure environments. When electronic products face continuous or severe processing pressure, their wireless communication environment and system load may deteriorate, affecting the stability and effectiveness of critical security mechanisms. For example, key negotiation mechanisms may be more vulnerable to replay attacks. Without proactive management and adjustments to such potential security risks, even if high-importance tasks are prioritized, the overall information security transmission protocol may still have weaknesses.

[0047] In this regard, refer to Figure 2 , Figure 2 This is a flowchart of a method for prioritizing the execution of data verification tasks with high importance levels, provided by an embodiment of the present invention. S13 includes: S131, Obtain key indicators of the wireless communication environment and system operating status of the electronic product; S132, Based on the key indicators of the wireless communication environment and the system operating status, assess the deterioration trend of the wireless communication environment and system load, and generate an early warning signal; S133, When the warning signal is received, adjust the anti-replay window of the key negotiation mechanism in the electronic product.

[0048] Specifically, key indicators of the wireless communication environment may include, but are not limited to, signal strength, signal-to-noise ratio, packet loss rate, latency, and jitter. Key indicators of the system's operating status may include, but are not limited to, CPU utilization, memory utilization, storage I / O load, network bandwidth utilization, and battery level. These indicators can be acquired in real time or periodically through sensors within the electronic product, operating system application programming interfaces, or communication modules.

[0049] The assessment of the deterioration trend of the wireless communication environment and system load refers to analyzing historical data and current values ​​of the aforementioned key indicators, combined with preset thresholds and trend models, to determine whether communication quality or system performance is continuously declining or about to reach an unacceptable level. For example, a continuously rising packet loss rate, a continuously declining signal strength, or a prolonged period of high CPU utilization can be identified as a deterioration trend. The warning signal is an internal or external notification generated after the deterioration trend is identified, used to trigger subsequent countermeasures.

[0050] In practical applications, the anti-replay window of the key negotiation mechanism refers to a security mechanism used during the key negotiation process to prevent attackers from replaying old or invalid negotiation messages. This window is typically maintained using timestamps, random numbers, or sequence numbers to ensure the uniqueness and freshness of each negotiation message. Adjusting the anti-replay window can be understood as dynamically changing its size or verification strategy based on the degree of deterioration indicated by warning signals. For example, when the communication environment deteriorates, the anti-replay window can be appropriately tightened to increase sensitivity to replay attacks, or when the system load is too high, the window's verification algorithm can be adjusted to balance security and performance overhead.

[0051] This application's solution proactively monitors key indicators of the wireless communication environment and system operating status of electronic products, enabling timely detection of potential deterioration trends. When such trends are detected and early warning signals are generated, the system no longer relies solely on task prioritization but takes further targeted security hardening measures. Specifically, by adjusting the anti-replay window of the key negotiation mechanism, the anti-replay attack capability of the key negotiation process can be enhanced under conditions of limited communication or computing resources. For example, when network latency increases or packet loss rate rises, attackers may find it easier to exploit replay attacks to compromise the integrity of key negotiation. In this case, by tightening the anti-replay window, the timeliness of negotiation messages can be more rigorously verified, effectively resisting such attacks and ensuring that the core security protocol remains robust even under stress.

[0052] Through the above technical solution, this application not only prioritizes the execution of high-importance data verification tasks when electronic products are under processing pressure, but also achieves early warning of potential security risks through real-time monitoring and trend assessment of the communication environment and system load. This allows for targeted adjustment of the anti-replay window of the key negotiation mechanism, effectively improving the security of the key negotiation process and reducing the risk of successful replay attacks even when system performance degrades or communication quality is poor. This significantly enhances the overall robustness and anti-attack capability of the information security transmission protocol of electronic products under processing pressure, avoiding potential security vulnerabilities caused by environmental degradation and providing more reliable protection for critical data transmission.

[0053] In some preferred embodiments, a specific example is given below. Suppose a smart home gateway, while processing a large amount of concurrent sensor data and user requests, experiences CPU utilization consistently exceeding 80%, and the signal strength of the wireless communication channel with the cloud server begins to fluctuate, with a slight increase in the packet retransmission rate. The system continuously acquires these key indicators. When the system detects that CPU utilization is above 80% for 5 consecutive minutes and the packet retransmission rate increases by 5% within 1 minute, this is assessed as a deteriorating trend in system load and wireless communication environment, and an early warning signal is immediately generated. Upon receiving this early warning signal, the gateway's security module responds immediately, shortening the anti-replay window of the current key negotiation mechanism from the default 5 seconds to 2 seconds. This adjustment makes the gateway more stringent in its requirements for timestamps when verifying key negotiation messages, effectively reducing the possibility of attackers exploiting replays of old negotiation messages to launch attacks when the network is unstable or the system response is slow, ensuring that the security of key negotiation is effectively maintained even under resource constraints.

[0054] In some of the above implementations, when electronic products are under processing pressure, high-priority data verification tasks are prioritized, and the anti-replay window of the key negotiation mechanism is adjusted when a deterioration trend in the wireless communication environment and system load is detected. However, in practical applications, simply adjusting the anti-replay window may not be sufficient to comprehensively address complex processing pressures and potential security threats. For example, when system resources are extremely strained or facing multiple attacks, a lack of resource guarantees for critical verification tasks and macro-level monitoring of the overall security situation may result in high-priority data verification tasks still not being effectively completed, or risks not being reported to management for collaborative processing in a timely manner, thereby affecting the overall information security of electronic products.

[0055] In response, this application further proposes that if the above conditions are met, then data verification tasks with higher importance levels should be performed first, including: To obtain key indicators of the wireless communication environment and system operating status of the electronic product; Based on the key indicators of the wireless communication environment and the system operating status, assess the deterioration trend of the communication environment and system load, and generate early warning signals; When the warning signal is received, resource scheduling and protocol strategy adjustment are initiated. The resource scheduling and protocol strategy adjustment include prioritizing the resources for the high-importance data verification task and adjusting the anti-replay window of the key negotiation mechanism in the electronic product. The warning signals, resource scheduling, and protocol strategy adjustments are reported to the management platform.

[0056] Specifically, acquiring key indicators of the wireless communication environment and system operating status of electronic products refers to collecting core data related to the operating environment and the product's own status in real time or periodically through sensors, system logs, network interfaces, and other means. Key indicators of the wireless communication environment may include, but are not limited to, signal strength, signal-to-noise ratio, packet loss rate, retransmission count, and channel utilization; key indicators of the system operating status may include, but are not limited to, CPU utilization, memory usage, storage I / O, network bandwidth usage, process activity, and battery level. Acquiring these indicators aims to provide a data foundation for subsequent risk assessment.

[0057] Specifically, assessing the deterioration trend of the communication environment and system load based on key indicators of the wireless communication environment and system operating status, and generating early warning signals, can be understood as a comprehensive analysis of the various indicators obtained above. For example, by setting thresholds, trend analysis algorithms, or machine learning models, it can determine whether the current environment or system is developing in a direction detrimental to information security transmission. A deteriorating trend may manifest as a continuous decline in signal quality, a significant increase in packet retransmission rate, prolonged high CPU or memory utilization, and increased response latency in critical processes. When such a trend is detected, the system will generate an early warning signal to trigger subsequent countermeasures.

[0058] In practical applications, resource scheduling and protocol strategy adjustments are initiated upon receiving an early warning signal. These adjustments aim to provide a more comprehensive and flexible response mechanism. Specifically, prioritizing resources for high-importance data verification tasks means dynamically adjusting resource allocation strategies when system resources are limited. This includes increasing CPU scheduling priority for high-importance verification tasks, allocating more memory space, and reserving dedicated network bandwidth to ensure these critical tasks receive the necessary computing and communication resources in a timely manner, thereby increasing their likelihood of completion. Adjusting the anti-replay window of the key negotiation mechanism in electronic products involves dynamically narrowing or expanding the anti-replay window based on the threat level indicated by the early warning signal and system pressure. For example, when a potential replay attack risk or network congestion is detected, the anti-replay window can be appropriately narrowed to improve the sensitivity of duplicate message detection; conversely, when the network environment is stable and resources are sufficient, it can be appropriately widened to reduce unnecessary overhead.

[0059] Furthermore, reporting early warning signals, resource scheduling, and protocol policy adjustments to the management platform refers to sending the currently detected risk status, the system's response measures, and their effects to a centralized management or monitoring platform via a secure communication channel. This management platform can be a cloud service, a local server, or a dedicated security operations center. The purpose of this reporting is to provide real-time security situational awareness, enabling managers to promptly understand the operational status and security risks of electronic products and, when necessary, to intervene manually or initiate higher-level emergency response procedures.

[0060] This application's solution continuously monitors key indicators of the wireless communication environment and system operation status of electronic products, enabling timely detection of potential communication environment deterioration or system overload, and generating early warning signals accordingly. It is precisely the generation of these early warning signals that allows the system to proactively initiate resource scheduling and protocol policy adjustments. Furthermore, by prioritizing resources for high-priority data verification tasks, it ensures that even under resource constraints or harsh environments, the most critical security verification tasks still have the necessary execution conditions, thus avoiding security vulnerabilities caused by insufficient resources. Simultaneously, adjusting the anti-replay window of the key negotiation mechanism dynamically enhances or optimizes security protection based on the actual threat situation. Moreover, reporting early warning signals, resource scheduling, and protocol policy adjustments to the management platform allows local security incidents of electronic products to be incorporated into the global security management system, thereby achieving a shift from passive response to proactive early warning, and from local optimization to global collaboration, significantly improving the information security resilience of electronic products in complex environments.

[0061] Through the above technical solution, this application effectively addresses the problem that relying solely on a single mechanism is insufficient to comprehensively guarantee the completion of high-importance data verification tasks under pressure, and compensates for the lack of global security situation awareness. Specifically, by real-time monitoring of key indicators and assessment of deterioration trends, early warning of potential risks is achieved; by initiating resource scheduling and adjusting protocol strategies, the resource priority of critical security tasks is ensured, improving their execution reliability; by dynamically adjusting the anti-replay window of the key negotiation mechanism, the adaptability and security of the protocol are enhanced; more importantly, by reporting relevant situations to the management platform, the visibility and manageability of electronic product information security incidents are greatly improved, enabling the management platform to promptly obtain the security status of devices, make more macro-level decisions and interventions, thereby constructing a more robust and intelligent information security transmission protocol optimization system.

[0062] In some preferred embodiments, a specific example is given below. Assume a smart home gateway, as an electronic product, is responsible for processing communication data from various smart devices within the home and performing security verification.

[0063] First, the smart home gateway continuously acquires key indicators of its wireless communication environment (such as Wi-Fi signal strength and channel interference) and system operating status (such as CPU load, memory usage, and network throughput).

[0064] When the system detects a continuous decrease in Wi-Fi signal strength, a prolonged period of high CPU load, and a significant increase in packet retransmission rate, it will assess that the communication environment and system load are deteriorating and immediately generate a warning signal.

[0065] Upon receiving the warning signal, the smart home gateway will immediately initiate resource scheduling and protocol policy adjustments. Specifically, it will prioritize allocating more CPU time slices and network bandwidth to data verification tasks for critical devices such as smart door locks and security cameras, ensuring that these high-priority verification tasks can be completed in a timely manner. Simultaneously, to address potential network attacks, the system will dynamically reduce the anti-replay window of the key negotiation mechanism to improve its ability to detect potential replay attacks.

[0066] Furthermore, the smart home gateway reports detailed information about this warning signal, resource scheduling, and protocol policy adjustments (e.g., detected anomalies, adopted resource allocation strategies, and anti-replay window adjustment parameters) to the user's cloud-based management platform via a secure, encrypted channel. Upon receiving the report, the management platform can send an alert to the user and record relevant events for further analysis and processing by the user or service provider, such as advising the user to check the network environment or perform device maintenance. Through these measures, even in poor network conditions or under resource constraints, the smart home gateway can maximize the secure transmission of critical information and promptly report risks, achieving a higher level of security protection.

[0067] In some embodiments described above, this application proposes initiating resource scheduling and protocol policy adjustments when electronic products are under processing pressure, and reporting the warning signals, resource scheduling, and protocol policy adjustment status to the management platform. However, in practical applications, when electronic products face processing pressure, their communication environment may also deteriorate simultaneously, leading to instability or unavailability of conventional communication channels. If the management platform cannot receive these critical security status information reports in a timely and reliable manner, it may delay the response to potential security threats, thereby affecting the security of the entire system.

[0068] In response, this application further proposes an optimization scheme, in which the aforementioned reporting of the early warning signal, resource scheduling, and protocol strategy adjustment status to the management platform includes: Detect the signal quality and data packet retransmission rate of the conventional communication channel of the electronic product; When the signal quality of the conventional communication channel is consistently lower than a preset first threshold or the data packet retransmission rate is higher than a preset second threshold for an extended period, the backup communication channel is activated. Through the backup communication channel, a core security status information report containing the early warning signal, the resource scheduling, and the protocol policy adjustment status is sent. The core security status information report is digitally signed; The transmission frequency and content granularity of the core security status information report are adjusted based on the available bandwidth of the backup communication channel and the importance of the core security status information report.

[0069] Specifically, when reporting early warning signals, resource scheduling, and protocol strategy adjustments to the management platform, it is first necessary to check the signal quality and data packet retransmission rate of the electronic product's conventional communication channel. Signal quality can be understood as the strength and clarity of the communication channel, such as the signal-to-noise ratio (SNR) or Received Signal Strength Indication (RSSI), which aims to assess the stability of the current communication link. Data packet retransmission rate refers to the proportion of data packets that need to be retransmitted due to transmission failure within a certain period, reflecting the reliability of the communication link.

[0070] When the signal quality of the conventional communication channel remains below a preset first threshold, or the data packet retransmission rate remains above a preset second threshold for an extended period, it indicates a potential serious problem with the conventional communication channel, rendering it unable to reliably transmit critical information. In this situation, a backup communication channel will be activated. The backup communication channel can be a communication link independent of the conventional channel, such as cellular networks (e.g., NB-IoT, LTE-M), satellite communication, or other low-power wide-area network (LPWAN) technologies. Its purpose is to provide an alternative solution for communication even when the conventional channel fails.

[0071] Through a backup communication channel, a core security status information report is sent, containing early warning signals, resource scheduling, and protocol policy adjustments. This core security status information report refers to information critical to system security, such as the types of threats detected, mitigation measures taken, and the system's current security configuration. Its purpose is to ensure that the management platform can promptly understand the security posture of electronic products.

[0072] To ensure the authenticity and integrity of the core security status information report, the report will be digitally signed. A digital signature is a cryptographic technique that encrypts the report using the sender's private key, which the receiver can then decrypt and verify using the sender's public key. Its purpose is to prevent the report from being tampered with during transmission and to confirm the sender's identity.

[0073] Furthermore, the transmission frequency and content granularity of core security status information reports will be adjusted based on the available bandwidth of the backup communication channel and the importance of the reports. Available bandwidth refers to the amount of data that the backup communication channel can transmit within a specific time period, reflecting the channel's transmission capacity. The importance of the reports can be assessed based on factors such as threat level and scope of impact, distinguishing the urgency of different information. By dynamically adjusting the transmission frequency and content granularity, the most critical information can be prioritized for transmission under limited bandwidth conditions, ensuring efficient information transmission.

[0074] This application's solution introduces a real-time monitoring mechanism for the status of conventional communication channels, enabling timely detection and response to potential communication link failures. When the performance of the conventional channel degrades to the point where it cannot meet the requirements for transmitting security reports, the system can intelligently switch to a backup communication channel, thereby avoiding the loss or delay of critical security information reports due to conventional channel failures. Furthermore, by digitally signing core security status information reports, the credibility of the report's source and the integrity of its content are ensured, effectively preventing malicious tampering or forgery and enhancing report security. Simultaneously, considering the potential bandwidth limitations of backup communication channels, this application's solution also introduces an adaptive adjustment mechanism based on available bandwidth and report importance, ensuring that the transmission of the most critical information is prioritized even under resource constraints, and optimizing transmission efficiency. It is precisely due to the synergistic effect of these mechanisms that electronic products can reliably and securely report their security status to the management platform even when facing processing pressure and deteriorating communication environments, thus providing a solid foundation for the management platform to take timely countermeasures.

[0075] Through the above technical solutions, this application can significantly improve the reliability and security of security status information reporting for electronic products in complex or harsh communication environments. Specifically, by monitoring the conventional communication channel in real time and switching to the backup communication channel as needed, the problem of critical information not being reported due to conventional channel failure is effectively solved, ensuring that the management platform can continuously receive security status updates for electronic products. Furthermore, the application of digital signatures provides robust authentication and integrity protection for core security status information reporting, greatly enhancing the credibility of the reports and preventing information tampering or forgery. Simultaneously, the mechanism of dynamically adjusting based on backup channel bandwidth and report importance ensures efficient and prioritized transmission of the most critical security information even with limited communication resources, avoiding unnecessary bandwidth waste and ensuring timely information transmission. These improvements collectively constitute a more robust and reliable secure information transmission link, thereby enhancing the resilience and responsiveness of the entire electronic product information security transmission protocol.

[0076] In some preferred embodiments, a specific example is given below. Assume a smart sensor (electronic product) deployed in an Industrial Internet of Things (IIoT) environment primarily communicates with a central management platform via a Wi-Fi network (the conventional communication channel). When severe electromagnetic interference occurs in the factory workshop, causing a sharp decline in Wi-Fi signal quality and a persistently high packet retransmission rate, the smart sensor detects this anomaly. At this point, the system determines that the conventional communication channel is unreliable and immediately activates its built-in NB-IoT module (the backup communication channel). The smart sensor encapsulates previously generated warning signals (e.g., detected abnormal access attempts), resource scheduling information (e.g., CPU resources have been prioritized for the security module), and protocol policy adjustments (e.g., the anti-replay window of the key negotiation mechanism has been adjusted) into a core security status report. This report is digitally signed by the smart sensor before transmission to ensure its authenticity and integrity. Due to the relatively limited bandwidth of NB-IoT, the system dynamically adjusts the transmission strategy based on the available bandwidth of the current NB-IoT network and the importance of each item in the report. For example, if bandwidth is extremely low, the system may only send the most urgent alert, "An abnormal access attempt detected," at a higher frequency, while sending secondary information such as "CPU resource allocation status" at a lower frequency, or aggregating it before sending it. This ensures that even when communication is restricted, the management platform can still receive the most critical security alerts in a timely manner and take appropriate countermeasures accordingly.

[0077] In some embodiments of this application, in order to prioritize the execution of high-priority data verification tasks when the electronic product is under processing pressure, it is necessary to classify the data verification tasks in the electronic product's information transmission according to their importance. Specifically, the above-mentioned classification of the importance of data verification tasks in the electronic product's information transmission includes: Obtain information on the source, destination, information type, communication anomaly patterns, and security threats of the data stream; The importance level of the data verification task is evaluated and adjusted based on the source, destination, information type, communication anomaly pattern, and acquired security threat information of the data stream.

[0078] The acquisition of data stream source, destination, information type, communication anomaly patterns, and security threat information aims to comprehensively collect all critical contextual information related to data stream security. Specifically, the source of the data stream can refer to the entity or location where the data is generated, such as sensors, user interfaces, internal processing modules, or external network servers. The destination of the data stream can refer to the entity or location where the data is expected to be transmitted, such as actuators, displays, storage units, or cloud services. The information type can refer to the nature of the data content, such as control commands, sensor readings, user privacy data, firmware update packages, or diagnostic logs. Communication anomaly patterns can refer to any abnormal behavior observed during data transmission, such as an abnormally high packet loss rate, a significant increase in transmission latency, repeated connection attempt failures, or unexpected fluctuations in data throughput. Security threat information can refer to real-time or historical intelligence regarding known vulnerabilities, active attacks, malware signatures, or suspicious network activity.

[0079] Furthermore, the importance level of the data verification task is assessed and adjusted based on the source, destination, information type, communication anomaly pattern, and acquired security threat information of the data stream. This means that by comprehensively analyzing the above information, the system can make a preliminary judgment on the importance of each data verification task and dynamically adjust it according to the actual situation. For example, for a data stream originating from a critical security module, destined for a core control unit, and containing an emergency control command, if a communication anomaly pattern or related security threat information is detected simultaneously, its corresponding data verification task will be assigned an extremely high importance level. This assessment and adjustment process can be based on preset policy rules, machine learning models, or expert systems.

[0080] This application's solution categorizes data verification tasks by a refined importance hierarchy. When electronic products face processing pressure, the system can intelligently identify and prioritize data verification tasks crucial to system security and functional integrity based on this hierarchy. Specifically, when electronic products are under processing pressure, limited resources prevent the equal intensity of verification for all data. In this situation, by pre-acquiring information about the source, destination, information type, communication anomaly patterns, and security threats of the data streams, and by assessing and adjusting the importance levels of data verification tasks accordingly, the system can accurately determine which data verification tasks are indispensable and which can be appropriately simplified or delayed. This ensures that even under resource constraints, core security mechanisms can be effectively executed, preventing critical data verification failures due to insufficient resources and thus avoiding serious security risks.

[0081] Through the above technical solution, this application can significantly improve the resilience of electronic products in information security transmission under complex or constrained environments. Specifically, by classifying data verification tasks into multi-dimensional and dynamic levels of importance, the system can more accurately allocate limited computing resources when facing processing pressure, prioritizing the integrity and security of critical data. This not only optimizes resource utilization efficiency but, more importantly, effectively reduces the risk of security vulnerabilities caused by insufficient resources under extreme conditions, thereby enhancing the overall information security protection capability and reliability of electronic products.

[0082] In some of the embodiments described above in this application, the importance level classification of data verification tasks in electronic product information transmission is mainly based on the source, destination, information type, communication anomaly patterns, and security threat information of the data stream for evaluation and adjustment. However, in its implementation, this evaluation method may fail to fully consider the real-time operating status of the electronic product itself, especially when the device is under high load or resource constraints. If priority classification is based solely on the static or semi-static characteristics of the data stream, it may lead to an inflexible inability to adjust resource allocation when the system is under heavy processing pressure, thereby affecting the timely completion of critical data verification tasks and potentially introducing security risks.

[0083] In response, this application further proposes the following steps for assessing and adjusting the importance level of the data verification task based on the source, destination, information type, communication anomaly patterns, and security threat information obtained from the data stream: Based on the source, destination, information type, communication anomaly patterns, and security threat information of the data stream, a preliminary priority assessment is conducted to obtain a provisional priority list; To acquire operational status information and wireless communication environment information of electronic products; Based on the operating status information of electronic products and the wireless communication environment information, determine whether the electronic products are under high load. When electronic products are under high load, the data verification task with the highest importance is selected according to the temporary priority list, and a deep priority evaluation is performed to obtain a new priority list. The new priority list will be selectively applied based on the differences between the new priority list and the temporary priority list, as well as the resource availability of electronic products.

[0084] Specifically, preliminary priority assessment refers to the system prioritizing all tasks to be verified based on preset security policies and the inherent attributes of the data flow, such as whether the data contains sensitive user privacy information, whether it is a device control command, or whether the communication involves high-risk areas. This generates a basic temporary priority list, reflecting the importance of each task under ideal conditions. Acquiring operational status information of electronic products can be understood as collecting internal resource indicators such as CPU utilization, memory usage, I / O throughput, and battery level. Wireless communication environment information includes external communication quality indicators such as signal strength, signal-to-noise ratio, packet loss rate, and network latency. The purpose of this information is to comprehensively understand the current operational health of the electronic product and external communication conditions.

[0085] In practical applications, determining whether an electronic product is under high load can be achieved by setting thresholds. For example, if CPU utilization consistently exceeds a preset value or network packet loss rate remains above a preset value for an extended period, the device is considered to be under high load. The purpose is to identify scenarios of resource scarcity or poor communication environments, triggering a more refined priority adjustment mechanism. When an electronic product is under high load, the system filters data verification tasks initially assessed as the most important from a temporary priority list and performs a deep priority evaluation. This deep priority evaluation considers factors such as current device resource availability, task computational complexity, and real-time requirements to generate a new priority list more suited to the current high-load environment.

[0086] Furthermore, selectively applying the new priority list means that the system compares the differences between the new priority list and the temporary priority list, and, in combination with the current actual resource situation of the electronic product, decides whether to fully adopt the new priority list or only adjust the priority of some critical tasks, so as to maximize the protection of core security functions under limited resources.

[0087] This application's solution effectively addresses the resource allocation issues that can arise from traditional static prioritization under high device load conditions by introducing real-time sensing of electronic product operating status and wireless communication environment information, and then dynamically evaluating and adjusting priorities accordingly. Specifically, when electronic products are under high load, the system no longer relies solely on the inherent attributes of the data stream, but instead performs a deep priority evaluation on the most important data verification tasks. This deep evaluation considers the current resource availability of the device, making priority adjustments more aligned with the actual operating environment. By generating and selectively applying new priority lists, the system ensures that the most critical data verification tasks receive priority even when resources are scarce, preventing security vulnerabilities or service interruptions due to insufficient resources.

[0088] Through the above technical solution, this application can optimize the information security transmission protocol of electronic products, especially when the device faces processing pressure or the communication environment deteriorates, enabling more intelligent and flexible management of the priority of data verification tasks. Compared with static division based solely on data flow characteristics, this solution significantly improves the system's adaptability and robustness in complex and changing environments by sensing the device's operating status and communication environment in real time and performing dynamic deep priority evaluation. This not only helps ensure the timely completion of critical data verification tasks and effectively resist potential security threats, but also optimizes system resource utilization efficiency, avoids unnecessary resource waste, and thus comprehensively enhances the information security protection capabilities of electronic products.

[0089] In some preferred embodiments, it is assumed that a smart home gateway is processing a large amount of sensor data and video streams from multiple smart devices, while its wireless communication environment is experiencing signal quality degradation and increased packet loss rate due to external interference, causing the gateway to be under high load. First, the gateway performs an initial priority assessment of all data verification tasks based on the source of the data stream (e.g., door lock sensor data, camera video stream), destination (cloud server, local control), information type (alarm information, environmental data), communication anomaly pattern (high retransmission rate), and security threat information (whether there is a potential DDoS attack), thereby generating a temporary priority list. For example, the door lock authentication data verification task is initially assigned the highest priority, while the routine data verification task of the environmental sensors is assigned a lower priority. Next, the gateway acquires its own CPU utilization, memory usage, and wireless network signal strength, latency, and other operational status information and wireless communication environment information in real time. When it detects that the CPU utilization continuously exceeds a preset threshold and the network packet loss rate is higher than a preset threshold, the gateway determines that it is under high load. At this time, the system performs a deep priority assessment based on the door lock authentication data verification task, which has the highest importance in the temporary priority list. During in-depth evaluation, the system considers current CPU and memory availability, as well as the real-time nature and computational complexity of the door lock authentication task. Even under resource constraints, the system prioritizes allocating necessary computing resources to this authentication task and may adjust its verification algorithm parameters to improve efficiency while ensuring security. Ultimately, the system generates a new priority list, further prioritizing the door lock authentication task, while potentially reducing or postponing the priority of non-critical, computationally intensive environmental data verification tasks. The system selectively applies this new priority list based on the differences between the old and new lists and current resource availability, ensuring that core security authentication functions remain unaffected during periods of high gateway load, thereby effectively guaranteeing the overall security of the smart home system.

[0090] In some embodiments described above in this application, when the electronic product is under high load, the data verification task with the highest importance is selected based on a temporary priority list for in-depth priority evaluation to obtain a new priority list. However, in practical applications, in-depth priority evaluation itself may consume certain computing resources. If the resource availability of the electronic product is already very low, directly performing a comprehensive in-depth priority evaluation may further exacerbate resource constraints and even lead to the evaluation process not being completed efficiently, thereby affecting the timely processing of critical data verification tasks.

[0091] In this regard, this application further proposes the following steps for conducting in-depth priority assessment to obtain a new priority list: The resource availability of the electronic product is assessed based on the operating status information and the wireless communication environment information. When the resource availability of the electronic product is lower than a preset third threshold, the verification tasks with high computational complexity are processed according to the temporary priority list to generate the new priority list.

[0092] Specifically, assessing the resource availability of electronic products refers to comprehensively judging the current computing and communication resource status of the system that can be used to perform data verification tasks by monitoring key indicators such as the utilization rate of the central processing unit (CPU), memory usage, storage I / O rate, network bandwidth usage, and battery level. Among these, the operational status information and the wireless communication environment information are important bases for assessing resource availability.

[0093] The preset third threshold can be understood as a critical point for resource availability. When the actual resource availability is lower than this threshold, it indicates that the electronic product is facing severe resource constraints and requires special processing strategies. Processing computationally complex verification tasks specifically refers to adjusting the evaluation strategies for these tasks. For example, simplified evaluation algorithms can be used, evaluation precision can be reduced, or some non-critical evaluation steps can be delayed. The aim is to efficiently complete priority evaluation even under resource constraints, avoiding the exhaustion of limited resources due to the evaluation of complex tasks.

[0094] The proposed solution assesses the resource availability of electronic products based on operational status and wireless communication environment information before conducting in-depth priority evaluation, thereby dynamically sensing the system's current resource status. Because the system can identify and selectively handle computationally complex verification tasks when resource availability falls below a preset third threshold, it avoids resource exhaustion or system response delays caused by blindly executing highly complex evaluation tasks under extremely resource-constrained conditions. This adaptive evaluation strategy ensures that even under extreme conditions, a new priority list can be effectively generated, guaranteeing the timeliness and reliability of critical data verification tasks.

[0095] By employing the aforementioned technical solution, this application effectively addresses the resource bottleneck problem that deep prioritization may face when electronic products have low resource availability. This solution intelligently assesses resource availability and differentiates computationally complex verification tasks, avoiding the impact on overall system performance and critical task execution due to excessive resource consumption during resource-constrained periods. Therefore, this application significantly improves the efficiency and robustness of prioritization for data verification tasks in complex and resource-constrained environments, ensuring the security and stability of information transmission.

[0096] In some preferred embodiments, it is assumed that a smart IoT device (as an electronic product) is performing a large amount of sensor data uploads and remote firmware updates, resulting in high CPU utilization and network bandwidth, and low battery power. At this time, based on operational status information (such as CPU load and memory usage) and wireless communication environment information (such as signal strength and packet loss rate), the system assesses that the device's resource availability has fallen below a preset third threshold. In this context, the system needs to perform a deep priority evaluation on multiple received data verification tasks. One task is to verify the integrity and digital signature of the firmware update package, which has extremely high computational complexity; another task is to verify the real-time performance of the sensor data. According to the temporary priority list, the firmware update package verification task has a higher priority. However, considering the extremely limited resources, the system will not immediately perform a complete digital signature verification. Instead, it may first perform a fast hash verification on the firmware update package to confirm its basic integrity, and postpone the complete digital signature verification until resource conditions improve, or use a lightweight verification algorithm with lower computational complexity. Meanwhile, for the real-time performance verification of sensor data, due to its relatively low computational complexity, the system will prioritize ensuring its resources and ensure its timely completion. In this way, the system can still effectively generate new priority lists even when resources are limited, which not only ensures the initial verification of critical tasks, but also avoids exhausting all resources due to a single high-complexity task, thereby maintaining the overall security and operational stability of the equipment.

[0097] In some embodiments described above in this application, when the resource availability of an electronic product is lower than a preset threshold, it is necessary to process computationally complex data verification tasks according to a temporary priority list to generate a new priority list. However, in practical applications, the processing of these highly complex tasks often places high demands on computing resources and time. If the processing is not carefully managed, it may lead to tasks failing to complete within the specified timeframe in resource-constrained environments, or excessive consumption of limited resources, thereby affecting the execution of other important tasks, and even introducing new security risks due to untimely or inaccurate evaluation results.

[0098] In response, this application further proposes the following steps for processing computationally complex verification tasks to generate a new priority list: Identify the evaluation time limit for the highly complex verification task; Obtain the currently available computing resources and processing power of the electronic product; Based on the evaluation time limit, the available computing resources, and the processing capacity, determine the minimum evaluation accuracy and maximum processing time for the high-complexity verification task; When the estimated processing time of the computationally complex verification task exceeds the maximum processing time, the evaluation accuracy of the verification task is adjusted to the minimum evaluation accuracy. When the evaluation accuracy of the computationally complex verification task has reached the minimum evaluation accuracy and the expected processing time still exceeds the maximum processing time, the evaluation result of the verification task is marked as uncertain, and the corresponding priority is reduced to the lowest priority in the temporary priority list to generate the new priority list.

[0099] Specifically, the evaluation time limit for identifying high-complexity verification tasks refers to the time window within which the system determines the task must be evaluated based on its nature, the importance of the data involved, and the current security situation.

[0100] For example, data verification involving real-time security threat response may have a very short evaluation timeframe. Obtaining the current available computing resources and processing power of electronic products refers to the system's real-time monitoring of key indicators such as CPU utilization, memory usage, and network bandwidth to understand the current hardware and software resources available for performing verification tasks. Determining the minimum evaluation accuracy and maximum processing time for high-complexity verification tasks based on the evaluation timeframe, available computing resources, and processing power means calculating the minimum acceptable evaluation quality while ensuring basic effectiveness, and the maximum processing time that the task can occupy without affecting system stability, while meeting the evaluation timeframe and considering the current resource situation. Minimum evaluation accuracy can be understood as the minimum accuracy requirement to ensure that the verification task results still have some reference value; for example, for encryption algorithm verification, it may be downgraded from full verification to partial parameter verification. Maximum processing time is to avoid a single high-complexity task occupying resources for an extended period, leading to system freezes or slow responses.

[0101] In this scenario, when the estimated processing time for a computationally complex verification task exceeds the maximum processing time, the evaluation precision of the verification task is adjusted to the minimum evaluation precision. This means the system proactively reduces the fineness of the verification in order to complete the task within a limited time. For example, for a complex algorithm verification requiring multiple iterations, the number of iterations might be reduced or a simplified verification model might be used. In practical applications, when the evaluation precision of a computationally complex verification task has reached the minimum evaluation precision but the estimated processing time still exceeds the maximum processing time, the evaluation result of the verification task is marked as uncertain, and its corresponding priority is reduced to the lowest priority in the temporary priority list to generate a new priority list. This is a risk management strategy, indicating that even at the lowest precision, the evaluation cannot be completed on time. In this case, instead of wasting resources on ineffective processing, it is better to mark it as uncertain and reduce its priority, thereby freeing up resources for other potentially complete tasks. At the same time, it sends a warning to the system, indicating that there is a security risk that cannot be fully evaluated.

[0102] This application's solution effectively addresses the challenge of efficiently and robustly handling highly complex verification tasks when electronic product resources are limited by introducing a refined management mechanism. Through this technical solution, the robustness and efficiency of electronic products in handling highly complex data verification tasks under resource constraints are significantly improved. This solution avoids system performance degradation or system freezes caused by excessive resource consumption by highly complex tasks, ensuring the timely completion of core security verification tasks. Simultaneously, by dynamically adjusting evaluation accuracy and priority, the system achieves an optimal balance between resources and security evaluation quality, effectively reducing the risk of security evaluation failure due to insufficient resources. Therefore, the information security transmission protocol optimization method for electronic products can maintain higher stability and reliability when facing complex and variable workloads and resource constraints, thereby better protecting the information security of electronic products.

[0103] In some of the embodiments described above in this application, when electronic products are under high load and resource availability is limited, the evaluation results of data verification tasks with high computational complexity may be marked as uncertain, and their priority may be reduced to the lowest level. However, if these verification tasks marked as uncertain involve highly sensitive information such as user privacy data or critical device control instructions, simply reducing their priority may not be sufficient to completely eliminate potential security risks, potentially leading to critical data being processed or transmitted without adequate verification, thereby introducing security vulnerabilities.

[0104] In response, this application further proposes marking the evaluation result of the verification task as uncertain and reducing the corresponding priority to the lowest priority in the temporary priority list to generate the new priority list, including: Obtain the data type of the verification task; Obtain the preset security impact level corresponding to the data type; Determine whether the data type is user privacy data or critical device control instructions; When the data type is user privacy data or critical device control instructions, the evaluation result of the verification task is marked as uncertain, the corresponding priority is reduced to the lowest priority in the temporary priority list, and an exception handling process for the uncertain verification task is initiated. The exception handling process includes recording the detailed context information of the verification task and sending an emergency alarm to the management platform containing the verification task type, the data flow characteristics, and the preset security impact level.

[0105] Specifically, before marking the evaluation result of a verification task as uncertain and lowering its priority, it is first necessary to obtain the data type corresponding to the verification task. This data type can indicate the nature of the data content, such as ordinary data, configuration data, user identity data, biometric data, or device control data. Simultaneously, the preset security impact level corresponding to this data type should be obtained, reflecting the potential harm caused if this type of data is tampered with or leaked.

[0106] Furthermore, the system will determine whether the acquired data type belongs to user privacy data or critical equipment control instructions. User privacy data typically refers to sensitive data such as personal identification information, biometric information, and location information; critical equipment control instructions refer to key operational instructions that can directly affect the operating status or security of equipment. When it is confirmed that the verification task involves such highly sensitive data, in addition to marking its evaluation result as uncertain and lowering its priority, an anomaly handling process will be immediately initiated. This anomaly handling process aims to conduct more in-depth control and response to potential risks, specifically including recording detailed contextual information of the verification task, such as the source, destination, timestamp, and involved protocols of the data stream, for subsequent source tracing analysis. In addition, an emergency alert will be sent to the management platform, which includes the type of verification task, the characteristics of the data stream, and its preset security impact level, ensuring that the management platform can be promptly informed and take appropriate intervention measures.

[0107] This application's solution effectively addresses the shortcomings of basic solutions in handling highly sensitive data by introducing data type identification and targeted anomaly handling mechanisms when the verification task evaluation result is uncertain and its priority is reduced. Through this technical solution, this application significantly enhances the security assurance capabilities of electronic products for transmitting highly sensitive information under processing pressure. Compared to basic solutions that merely reduce the priority of uncertain verification tasks, this application, by introducing data type identification and anomaly handling processes, ensures that core information such as user privacy data and critical equipment control commands receive special attention and protection even when verification is incomplete. This not only effectively reduces the security risks caused by verification uncertainty due to resource constraints but also provides strong support for rapid response, source tracing analysis, and risk management of security incidents through real-time alerts and detailed information logging, thereby enhancing the robustness and reliability of the entire information security transmission protocol.

[0108] In some preferred embodiments, a specific example is given below. Suppose a smart home gateway is processing a large number of concurrent data streams, causing its system load to reach a high level, resulting in resource availability falling below a preset third threshold. At this time, a data verification task involving an authentication request for user biometric data (e.g., fingerprint data), due to its high computational complexity, cannot complete a deep priority evaluation within the limited resources and evaluation time limit. Its estimated processing time exceeds the maximum processing time, and the evaluation accuracy has been adjusted to the minimum evaluation accuracy. According to the basic scheme, the evaluation result of this verification task will be marked as uncertain, and its priority will be reduced to the lowest level.

[0109] However, according to the optimized solution of this application, before marking the evaluation result of the verification task as uncertain and reducing its priority, the system first obtains the data type of the verification task and identifies it as "user privacy data". Simultaneously, the system determines that the preset security impact level corresponding to this data type is "high". Since this data type is determined to be user privacy data, the system immediately initiates an exception handling process. Specifically, the system records detailed context information of the authentication request, including the request source (e.g., which smart lock), request time, involved user ID, and data packet characteristics. Simultaneously, an emergency alarm is sent to the smart home management platform. The alarm content includes the verification task type (e.g., "uncertain biometric data verification"), data stream characteristics (e.g., "fingerprint data stream from a smart lock"), and the preset security impact level ("high"). Upon receiving the alarm, the management platform can immediately take measures such as manual intervention, isolating related devices, or activating a backup verification mechanism, thereby effectively avoiding the risk of user privacy leakage that may result from uncertain verification.

[0110] refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic product information security transmission protocol optimization system provided in an embodiment of the present invention, including: The classification end is used to classify the importance level of data verification tasks in the information transmission of electronic products; The judgment end is used to acquire the operating status information of the electronic product and, based on the operating status information, determine whether the electronic product is under pressure. The warning terminal is used to prioritize the execution of high-priority data verification tasks if the condition is met; and to issue a warning message if the high-priority data verification task cannot be completed.

[0111] This application also discloses an electronic product information security transmission protocol optimization system. This system integrates the importance level classification of data verification tasks, the judgment of electronic product operating status, and the priority execution and warning mechanism for high-importance tasks into different functional modules, forming a collaborative whole. The classification end is responsible for finely classifying data verification tasks, providing a basis for subsequent resource scheduling; the judgment end monitors the operating status of electronic products in real time and identifies potential processing pressure; the warning end dynamically adjusts task execution priorities based on the judgment results and issues timely warnings in extreme cases. This modular design enables the system to efficiently and adaptively cope with complex network environments and resource limitations, thereby effectively improving the information security protection capabilities of electronic products and solving the problem of limited information security transmission protocol optimization and protection capabilities of electronic products in complex environments in existing technologies.

[0112] In some embodiments of this application, the above-mentioned electronic product information security transmission protocol optimization system optimizes the electronic product information security transmission protocol by having its internal partitioning end, judgment end, and warning end work together.

[0113] The partitioning module is used to classify the importance of data verification tasks in electronic product information transmission. The specific method for classifying the importance of data verification tasks has already been described in the above embodiments and will not be repeated here. It is important to emphasize that the partitioning module, as a functional module of the system, can be implemented as follows: a configuration management module that stores a predefined list of data verification tasks and their corresponding default importance levels, allowing system administrators to manually input and adjust the importance levels of each data verification task through a user interface or command-line interface. For example, verification tasks involving user privacy data or critical equipment control instructions can be manually set to a high importance level; while routine log data or non-sensitive statistical information can be set to a low importance level. Alternatively, the partitioning module can also be a rule-based engine that performs preliminary analysis of the received data stream based on a preset set of rules (e.g., data stream source, destination, information type, communication anomaly patterns, and security threat information), and automatically assigns an initial importance level to its associated data verification tasks.

[0114] The judgment terminal is used to acquire the operating status information of the electronic product and, based on this information, determine whether the electronic product is under processing pressure. The specific methods for acquiring operating status information and determining whether the product is under processing pressure have been described in the above embodiments and will not be repeated here. It is important to emphasize that the judgment terminal, as a functional module of the system, can be implemented as follows: a system monitoring agent deployed inside the electronic product, responsible for periodically collecting system performance indicators such as CPU utilization, memory usage, network bandwidth, and I / O throughput. This agent can compare the collected data with preset static thresholds. For example, when CPU utilization continuously exceeds 80% for a certain period, or when available memory falls below a certain fixed percentage, the judgment terminal can determine that the electronic product is under processing pressure. Alternatively, the judgment terminal can also be a simple state machine that switches the operating state of the electronic product based on received hardware interrupts or software events (such as buffer overflow warnings or network connection timeouts) to determine whether it has entered a processing pressure state.

[0115] The warning terminal is used to prioritize high-importance data verification tasks when the electronic product is under processing pressure; if the high-importance data verification task cannot be completed, a warning message is issued. The specific methods for prioritizing high-importance data verification tasks and issuing warning messages have already been described in the above embodiments and will not be repeated here. It is important to emphasize that the warning terminal, as a functional module of the system, can be implemented as follows: a task scheduler that maintains a queue of pending data verification tasks. When the judgment terminal reports that the electronic product is under processing pressure, the scheduler dynamically adjusts the priority of each task in the task queue based on the importance level information provided by the classification terminal, ensuring that high-importance tasks are given priority in allocating computing resources and execution time. For example, the scheduler can use a simple priority queue algorithm to place high-importance tasks at the front of the queue. When a high-importance data verification task fails to complete within a preset timeout period, the warning terminal can trigger a simple notification mechanism, such as emitting a beep through the electronic product's built-in speaker or recording an error message in a local log file to indicate the task failure.

[0116] The electronic product information security transmission protocol optimization system proposed in this application aims to enhance the information security protection capabilities of electronic products in complex environments. Traditional electronic product information security transmission protocols suffer significant degradation in optimization and protection capabilities when faced with a combination of factors, including complex environmental interference, limited system resources, and human error. For example, when a smart home gateway encounters intermittent broadband electromagnetic interference, noise on the wireless channel increases significantly, leading to fluctuating signal quality and consequently high packet loss rates and out-of-order data packets. This unstable communication environment places continuous pressure on the gateway's internal protocol processing modules, particularly those responsible for the multi-layered data verification architecture, where internal buffering and data packet processing resources become constantly strained. To prevent complete system failure, the module's anomaly handling mechanism may selectively skip some non-core verification steps, such as temporarily suspending repeated hash checks or reducing the stringency of secondary integrity checks, thereby ensuring basic communication continuity under extreme loads, but also weakening security protection capabilities.

[0117] This application's system achieves intelligent management and dynamic response to data verification tasks through the collaborative work of its partitioning, judgment, and warning ends. The partitioning end differentiates the importance of different data verification tasks, allowing the system to prioritize security protection when resources are limited. The judgment end monitors the operating status of electronic products in real time, ensuring the system can promptly detect and respond to processing pressure. The warning end, based on this information, prioritizes the execution of high-importance tasks and issues timely alerts in extreme situations, thus avoiding the problem in traditional systems where all security verification tasks are indiscriminately degraded under high loads, leading to security risks to critical data. Through this systematic design, this application significantly improves the robustness and reliability of information security transmission protocols for electronic products in harsh environments, ensuring that the security and integrity of core data are given priority protection.

[0118] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for optimizing information security transmission protocols in electronic products, characterized in that, include: Classify the importance of data verification tasks in electronic product information transmission by level; Obtain the operating status information of the electronic product, and determine whether the electronic product is under pressure based on the operating status information; If so, then data verification tasks with higher importance levels will be executed first; A warning message will be issued if the data verification task of the high importance level cannot be completed.

2. The method for optimizing an electronic product information security transmission protocol according to claim 1, characterized in that, If so, the data verification tasks with higher importance levels will be executed first, including: To obtain key indicators of the wireless communication environment and system operating status of the electronic product; Based on key indicators of the wireless communication environment and the system operating status, assess the deterioration trend of the wireless communication environment and system load, and generate early warning signals; When the warning signal is received, the anti-replay window of the key negotiation mechanism in the electronic product is adjusted.

3. The method for optimizing an electronic product information security transmission protocol according to claim 1, characterized in that, If so, then data verification tasks with higher importance levels will be executed first, including: To obtain key indicators of the wireless communication environment and system operating status of the electronic product; Based on the key indicators of the wireless communication environment and the system operating status, assess the deterioration trend of the communication environment and system load, and generate early warning signals; When the warning signal is received, resource scheduling and protocol strategy adjustment are initiated. The resource scheduling and protocol strategy adjustment include prioritizing the resources for the high-importance data verification task and adjusting the anti-replay window of the key negotiation mechanism in the electronic product. The warning signals, resource scheduling, and protocol strategy adjustments are reported to the management platform.

4. The method for optimizing an electronic product information security transmission protocol according to claim 3, characterized in that, The step of reporting the early warning signal, resource scheduling, and protocol policy adjustment status to the management platform includes: Detect the signal quality and data packet retransmission rate of the conventional communication channel of the electronic product; When the signal quality of the conventional communication channel is consistently lower than a preset first threshold or the data packet retransmission rate is higher than a preset second threshold for an extended period, the backup communication channel is activated. Through the backup communication channel, a core security status information report containing the early warning signal, the resource scheduling, and the protocol policy adjustment status is sent. The core security status information report is digitally signed; The transmission frequency and content granularity of the core security status information report are adjusted based on the available bandwidth of the backup communication channel and the importance of the core security status information report.

5. The method for optimizing an electronic product information security transmission protocol according to claim 1, characterized in that, The classification of the importance of data verification tasks in electronic product information transmission includes: Obtain information on the source, destination, information type, communication anomaly patterns, and security threats of the data stream; The importance level of the data verification task is evaluated and adjusted based on the source, destination, information type, communication anomaly pattern, and acquired security threat information of the data stream.

6. The method for optimizing an electronic product information security transmission protocol according to claim 5, characterized in that, The step of evaluating and adjusting the importance level of the data verification task based on the source, destination, information type, communication anomaly pattern, and acquired security threat information of the data stream includes: Based on the source, destination, information type, communication anomaly pattern, and security threat information of the data stream, a preliminary priority assessment is performed to obtain a temporary priority list; Acquire the operating status information and wireless communication environment information of the electronic product; Based on the operating status information of the electronic product and the wireless communication environment information, it is determined whether the electronic product is in a high-load state; When the electronic product is under high load, the data verification task with the highest importance is selected according to the temporary priority list, and a deep priority evaluation is performed to obtain a new priority list. The new priority list is selectively applied based on the differences between the new priority list and the temporary priority list, as well as the resource availability of the electronic product.

7. The method for optimizing an electronic product information security transmission protocol according to claim 6, characterized in that, The process of performing a deep priority evaluation yields a new priority list, including: The resource availability of the electronic product is assessed based on the operating status information and the wireless communication environment information. When the resource availability of the electronic product is lower than a preset third threshold, the verification tasks with high computational complexity are processed according to the temporary priority list to generate the new priority list.

8. The method for optimizing an electronic product information security transmission protocol according to claim 7, characterized in that, When the resource availability of the electronic product is lower than a preset third threshold, the computationally complex verification tasks are processed according to the temporary priority list to generate the new priority list, including: Identify the evaluation time limit for the highly complex verification task; Obtain the currently available computing resources and processing power of the electronic product; Based on the evaluation time limit, the available computing resources, and the processing capacity, determine the minimum evaluation accuracy and maximum processing time for the high-complexity verification task; When the estimated processing time of the computationally complex verification task exceeds the maximum processing time, the evaluation accuracy of the verification task is adjusted to the minimum evaluation accuracy. When the evaluation accuracy of the computationally complex verification task has reached the minimum evaluation accuracy and the expected processing time still exceeds the maximum processing time, the evaluation result of the verification task is marked as uncertain, and the corresponding priority is reduced to the lowest priority in the temporary priority list to generate the new priority list.

9. The method for optimizing an electronic product information security transmission protocol according to claim 8, characterized in that, The step of marking the evaluation result of the verification task as uncertain and reducing the corresponding priority to the lowest priority in the temporary priority list to generate the new priority list includes: Obtain the data type of the verification task; Obtain the preset security impact level corresponding to the data type; Determine whether the data type is user privacy data or critical device control instructions; When the data type is user privacy data or critical device control instructions, the evaluation result of the verification task is marked as uncertain, the corresponding priority is reduced to the lowest priority in the temporary priority list, and an exception handling process for the uncertain verification task is initiated. The exception handling process includes recording the detailed context information of the verification task and sending an emergency alarm to the management platform containing the verification task type, the data flow characteristics, and the preset security impact level.

10. An electronic product information security transmission protocol optimization system, characterized in that, include: The classification end is used to classify the importance level of data verification tasks in the information transmission of electronic products; The judgment end is used to acquire the operating status information of the electronic product and, based on the operating status information, determine whether the electronic product is under pressure. The warning terminal is used to prioritize the execution of high-priority data verification tasks if the condition is met; and to issue a warning message if the high-priority data verification task cannot be completed.

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