Intelligent electronic information exchange processing method and system

Abstract

The invention discloses an intelligent electronic information exchange processing method and system, and relates to the technical field of information processing, an anti-attack capability coefficient is calculated by obtaining a key length of a used encryption algorithm, and a network signal value of encrypted electronic information in an exchange processing process is obtained to calculate an exchange network environment fluctuation coefficient; acquiring data exchange quantities at different moments to calculate a data volume exchange stagnation coefficient, calculating an encryption leakage risk coefficient according to the anti-attack capability coefficient, the network environment fluctuation coefficient and the data volume exchange stagnation coefficient, and judging whether an encryption leakage risk exists in an electronic information exchange processing process or not and whether exchange processing needs to be continued or not; whether the encrypted data may be leaked in the information exchange process or not can be detected and prevented in time, it is ensured that the encrypted data cannot be cracked or leaked in the exchange process, and the possibility of safety accidents is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of information processing, and particularly relates to an intelligent electronic information exchange processing method and system. Background Art

[0002] Electronic information exchange processing is a core component of modern information technology and is widely used in the communication and data transmission processes of various industries. With the acceleration of the global digitalization process, various sensitive data, commercial information, government documents, etc. are exchanged electronically, and ensuring the security of data during transmission has become a top priority. In order to ensure the confidentiality, integrity, and availability of information, encryption technology is usually adopted during the information exchange process to encrypt the data to prevent the data from being stolen or tampered with during transmission. Today's electronic information exchange methods mostly adopt technologies such as symmetric encryption (such as AES) and asymmetric encryption (such as RSA) to ensure the security of data transmission. In addition, security measures such as key exchange, identity authentication, and data integrity verification are also widely used in such exchanges.

[0003] Although the current electronic information exchange technology effectively ensures the security of data through encryption means, there are still potential security risks; for example: the current systems often assume that the encrypted information must be secure during the exchange processing, ignoring the possible leakage risks; this default assumption lacks a real-time detection and prevention mechanism for whether the encrypted data in the information exchange process may encounter leakage risks, which may lead to the encrypted data being cracked or leaked during the exchange process, causing serious security incidents. Summary of the Invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide an intelligent electronic information exchange processing method and system.

[0005] In the first aspect of the implementation of the present invention, an intelligent electronic information exchange processing method is first proposed, and the method includes: For the encrypted electronic information, obtain the key length of the encryption algorithm used, and calculate the anti-attack ability coefficient according to the key length to evaluate the anti-attack ability of the encryption algorithm used for encrypting the electronic information; Obtain the network signal value of the encrypted electronic information during the exchange processing, and calculate the exchange network environment fluctuation coefficient according to the network signal value to evaluate the instability degree of the network signal of the encrypted electronic information during the exchange processing; Obtain the data exchange quantity of the encrypted electronic information at different moments during the exchange processing, and calculate the data volume exchange stagnation coefficient according to the data volume exchange number to evaluate the degree of data volume stagnation of the encrypted electronic information during the exchange processing; Calculate the encryption leakage risk coefficient based on the anti - attack ability coefficient, network environment fluctuation coefficient, and data volume exchange stagnation coefficient, and compare the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether to continue the exchange process.

[0006] Optionally, the steps for calculating the anti - attack ability coefficient based on the key length are as follows: Obtain the key length of the encryption algorithm used , calculate the complexity of brute - force cracking, and the calculation formula is: , where is the complexity of brute - force cracking. Calculate the cracking time complexity based on the complexity of brute - force cracking, and the calculation formula is: , where is the cracking time complexity, is the number of executable operations of brute - force cracking per second by the attacker; based on the complexity of brute - force cracking and the cracking time complexity calculate the anti - attack ability coefficient, and the calculation formula is: , where is the anti - attack ability coefficient, and are respectively and 's preset proportionality coefficients, and and are both greater than 0.

[0007] Optionally, the steps for calculating the exchange network environment fluctuation coefficient based on the network signal value are as follows: Obtain the actual network signal between the exchanging parties at each moment during the exchange process of the encrypted electronic information, and calibrate the actual network signal as , represents the order number of the actual network signal between the two exchanging parties at each moment during the exchange process of the encrypted electronic information , = 1, 2, 3, 4, ……, , is the total number of order numbers of the actual network signal, and is a positive integer; Calculate the standard deviation of, as the exchange network environment fluctuation coefficient, and the calculation formula is: , where is the average value of the actual network signal, and the obtained expression is: .

[0008] Optionally, the steps for calculating the data volume exchange stagnation coefficient based on the data exchange quantity are as follows: Obtain the data exchange quantity at each moment during the exchange process of the encrypted electronic information, and mark the data exchange quantity at each moment as , The sequence number indicating the data exchange quantity at each moment, = 1, 2, 3, 4, ……, , is the total number of sequence numbers of the data exchange quantity, is a positive integer; Compare the data exchange quantity at each moment with the preset minimum data exchange quantity. If the data exchange quantity is less than the preset minimum data exchange quantity, then mark the corresponding data exchange quantity as an abnormal data exchange quantity; Rerank each abnormal data exchange quantity, and mark it as , The sequence number indicating the abnormal data exchange quantity, = 0, 1, 2, 3, 4, ……, , is the total number of sequence numbers of the abnormal data exchange quantity; Calculate the data volume exchange stagnation coefficient. The calculation formula is: , where is the data volume exchange stagnation coefficient, is the preset minimum data exchange quantity.

[0009] Optionally, the steps to calculate the encryption leakage risk coefficient based on the anti-attack ability coefficient, network environment fluctuation coefficient, and data volume exchange stagnation coefficient are as follows: ; where is the encryption leakage risk coefficient, , and are the anti-attack ability coefficient, network environment fluctuation coefficient, and data volume exchange stagnation coefficient respectively, 、 are respectively , and 's preset ratio values, and 、 are all greater than 0.

[0010] Optionally, the steps to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether to continue the exchange process are as follows: Compare the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold. If the encryption leakage risk coefficient is less than the preset encryption leakage risk coefficient threshold, there is no risk of encryption leakage during the electronic information exchange process, and the electronic information exchange process continues; If the encryption leakage risk coefficient is not less than the preset encryption leakage risk coefficient threshold, there is a risk of encryption leakage during the electronic information exchange process. Immediately stop the electronic information exchange process and send an alarm signal.

[0011] In the second aspect of the implementation of the present invention, an intelligent electronic information exchange processing system is proposed. The system includes: Anti-attack ability module: For the encrypted electronic information, obtain the key length of the encryption algorithm used, and calculate the anti-attack ability coefficient according to the key length, which is used to evaluate the anti-attack ability of the encryption algorithm used for encrypting the electronic information; Network environment fluctuation module: Obtain the network signal value of the encrypted electronic information during the exchange process, and calculate the exchange network environment fluctuation coefficient according to the network signal value, which is used to evaluate the instability degree of the network signal of the encrypted electronic information during the exchange process; Exchange stagnation module: Obtain the data exchange quantity of the encrypted electronic information at different moments during the exchange process, and calculate the data volume exchange stagnation coefficient according to the data volume exchange number, which is used to evaluate the degree of data volume stagnation of the encrypted electronic information during the exchange process; Exchange processing module: Calculate the encryption leakage risk coefficient according to the anti-attack ability coefficient, network environment fluctuation coefficient and data volume exchange stagnation coefficient, and compare the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to judge whether there is a risk of encryption leakage during the electronic information exchange process and whether it is necessary to continue the exchange process.

[0012] Advantages of the present invention: The present invention proposes an intelligent electronic information exchange processing method and system, which can judge whether there is a leakage risk when the encrypted information is in the exchange process; it can timely detect and prevent whether the encrypted data in the information exchange process may encounter a leakage risk, ensure that the encrypted data will not be cracked or leaked during the exchange process, and reduce the possibility of security accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The following further describes the present invention with reference to the accompanying drawings.

[0014] Figure 1 It is a flowchart of an intelligent electronic information exchange processing method; Figure 2 It is a framework diagram of an intelligent electronic information exchange processing system. Detailed implementation mode

[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0016] All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0017] The embodiments of the present invention provide an intelligent electronic information exchange processing method. Refer to Figure 1 , Figure 1 , which is a flowchart of an intelligent electronic information exchange processing method provided by the embodiments of the present invention. The method includes the following steps: For the encrypted electronic information, obtain the key length of the encryption algorithm used, and calculate the anti-attack ability coefficient according to the key length, so as to evaluate the anti-attack ability of the encryption algorithm used for encrypting the electronic information; Obtain the network signal value of the encrypted electronic information during the exchange processing, and calculate the exchange network environment fluctuation coefficient according to the network signal value, so as to evaluate the instability degree of the network signal of the encrypted electronic information during the exchange processing; Obtain the data exchange quantity of the encrypted electronic information at different moments during the exchange processing, and calculate the data volume exchange stagnation coefficient according to the data volume exchange number, so as to evaluate the degree of data volume stagnation of the encrypted electronic information during the exchange processing; Calculate the encryption leakage risk coefficient according to the anti-attack ability coefficient, the network environment fluctuation coefficient and the data volume exchange stagnation coefficient, and compare the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to judge whether there is a risk of encryption leakage during the electronic information exchange processing and whether it is necessary to continue the exchange processing.

[0018] Based on the intelligent electronic information exchange processing method provided by the embodiments of the present invention, in the above manner, when the encrypted information is in the exchange processing, it can judge whether there is a leakage risk; it can timely detect and prevent whether the encrypted data in the information exchange process may encounter a leakage risk, ensure that the encrypted data will not be cracked or leaked during the exchange process, and reduce the possibility of safety accidents occurring.

[0019] In one embodiment, for the encrypted electronic information, obtain the key length of the encryption algorithm used, and calculate the anti-attack ability coefficient according to the key length, which is used to evaluate the anti-attack ability of the encryption algorithm used for encrypting the electronic information; Among them, the steps of calculating the anti-attack ability coefficient according to the key length are as follows: Obtain the key length of the encryption algorithm used , calculate the complexity of brute-force cracking, and the calculation formula is: , where is the complexity of brute-force cracking, calculate the cracking time complexity according to the complexity of brute-force cracking, and the calculation formula is: , where is the cracking time complexity, is the number of executable operations of brute-force cracking per second by the attacker; according to the complexity of brute-force cracking and the cracking time complexity calculate the anti-attack ability coefficient, and the calculation formula is: , where is the anti-attack ability coefficient, and are respectively and 's preset proportionality coefficients, and and are both greater than 0.

[0020] It should be noted that and are set by professionals according to the actual situation. Generally, and The sum of is 1. For example and can be 0.5, 0.5 respectively, or other numbers, and specific values are not limited; It should be noted that in the process of calculating the anti-attack ability coefficient, the data acquisition methods involved include extracting the key length information from the encryption protocol or algorithm configuration, which is an inherent attribute of the encryption algorithm; the brute-force cracking complexity is obtained through the standard document or known model of the encryption algorithm, and usually has an exponential relationship with the key length; the cracking time complexity needs to be estimated according to the hardware performance of the attacker, and can be determined through benchmark testing or assuming the execution ability of the attacker, and is usually calculated based on the hardware performance such as the number of encryption operations that can be executed per second. Through the acquisition and calculation of these data, the anti-attack ability of the encryption algorithm can be comprehensively evaluated.

[0021] It should be noted that the larger the anti-attack ability coefficient, the smaller the leakage risk of the encrypted electronic information during the exchange process. The reason is that when the anti-attack ability coefficient is larger, it indicates that the key length of the encryption algorithm is longer, and the complexity and time required for cracking are also higher. This means that the difficulty for an attacker to successfully crack the encrypted information increases significantly. Therefore, during the exchange process, it is more difficult for the encrypted data to be brute-forced or tampered with, thus ensuring the security of the information. In addition, the increase in the anti-attack ability coefficient also reflects the enhancement of the encryption algorithm in resisting various attacks (such as brute-force attacks, side-channel attacks, etc.), making the encrypted information more stable during transmission and reducing the possibility of being intercepted or leaked. On the contrary, a lower anti-attack ability coefficient means a weaker encryption algorithm and lower cracking difficulty, which may make the encrypted data more vulnerable to attacks and leakage. Therefore, the higher the anti-attack ability coefficient, the smaller the leakage risk of the data during the exchange process.

[0022] In one implementation method, the benefits of analyzing the anti-attack ability coefficient for determining whether there is a leakage risk of the encrypted electronic information during the exchange process are as follows: It can accurately evaluate the security of the encryption algorithm. By evaluating the key length, brute-force cracking complexity, and cracking time, it helps the system promptly identify potential security vulnerabilities. If the anti-attack ability coefficient is low, it indicates that the encryption algorithm may not be powerful enough, and the possibility for an attacker to break through the encryption is relatively high, thus triggering the risk of information leakage. This evaluation method has strong foresight, can predict the deficiencies of the encryption algorithm in advance, and provide a basis for improving the encryption strategy. Secondly, by continuously monitoring and calculating the anti-attack ability coefficient, the system can dynamically adjust the encryption strategy, increase the encryption intensity to cope with increasingly complex attack means, and ensure that the information will not be cracked or tampered with during transmission. In short, the anti-attack ability coefficient not only helps to promptly identify the leakage risk but also provides continuous decision-making support for enhancing encryption security, ensuring the transmission security of electronic information.

[0023] In one embodiment, obtain the network signal value of the encrypted electronic information during the exchange process, and calculate the exchange network environment fluctuation coefficient based on the network signal value to evaluate the instability degree of the network signal of the encrypted electronic information during the exchange process; Among them, the steps for calculating the exchange network environment fluctuation coefficient based on the network signal value are as follows: Obtain the actual network signal at each moment between the exchanging parties during the exchange process of the encrypted electronic information, and calibrate the actual network signal as , indicating the order number of the actual network signal at each moment between the two exchanging parties during the exchange process of the encrypted electronic information , = 1, 2, 3, 4,..., , is the total number of sequence numbers of the actual network signals, and is a positive integer; The calculated standard deviation, as the fluctuation coefficient of the switching network environment, is calculated by the formula: , where in the formula is the average value of the actual network signals, and the obtained expression is: .

[0024] It should be noted that in the process of calculating the fluctuation coefficient of the switching network environment, the data acquisition methods are as follows: First, the actual network signal values between the switching parties at each moment are obtained in real time through network monitoring devices, protocol analysis tools or communication protocol stacks. These signal values usually reflect the quality of the network connection, such as signal strength, latency, packet loss rate and other indicators, which can be obtained through network hardware (such as routers, switches, wireless access points) or performance monitoring tools at the application layer (such as Ping, Traceroute). The network signal values at each moment are recorded as a data point and stored according to the sequence number in time series. Then, by processing these real-time recorded signal values, their average value and standard deviation are calculated to obtain the network environment fluctuation coefficient. This process relies on continuous data collection, can reflect the change of network signals over time, and provides a real-time assessment of network stability.

[0025] It should be noted that the smaller the network environment fluctuation coefficient, the smaller the leakage risk of the encrypted electronic information during the switching process. The reason is that when the network environment fluctuation coefficient is smaller, it means that the network signal has higher stability and the data transmission during the network switching process is more stable and reliable. This means that there are fewer problems such as packet loss, latency or signal interference during data transmission, reducing the possible errors or interruptions during data transmission, thereby reducing the risk of information leakage. A stable network environment can ensure the continuity and integrity of encrypted information, is not easily affected by external attacks or man-in-the-middle interference, and also reduces the risks of replay attacks and data tampering caused by network fluctuations by malicious attackers. In addition, smaller network fluctuations usually mean that the transmission speed of encrypted data during the switching process is faster and the data transmission path is more stable, further enhancing the confidentiality and integrity of encrypted information. Therefore, the smaller the network environment fluctuation coefficient, the lower the potential risk of information leakage.

[0026] In one implementation, the advantage of analyzing the network environment fluctuation coefficient for determining whether there is a risk of leakage during the exchange process of encrypted electronic information is that it can reflect the stability of the network connection in real time and help the system accurately identify problems that may affect the data transmission quality. For example, when the fluctuation coefficient is high, it indicates that the network signal is unstable, which may cause packet loss, delay, or interference during the transmission of encrypted information, all of which will increase the risk of data leakage. Secondly, the calculation of the network environment fluctuation coefficient can be combined with the anti-attack ability coefficient of the encryption algorithm to provide a more comprehensive security assessment, ensuring that not only the encryption itself is strong enough, but also the possible vulnerable points during the network transmission process are considered. In addition, the fluctuation coefficient can be used as an important basis for the system to optimize the network architecture and adjust the data transmission strategy, ensuring that appropriate measures are taken in an unstable network environment, such as adjusting the encryption strength, increasing the retransmission mechanism, etc., to reduce the risk of information leakage. Therefore, the use of the network environment fluctuation coefficient helps to construct a dynamic and comprehensive security protection system, effectively improving the security of encrypted electronic information during the exchange process.

[0027] In one embodiment, the data exchange quantities at different moments during the exchange process of the encrypted electronic information are obtained, and the data volume exchange stagnation coefficient is calculated based on the data volume exchange quantities to evaluate the degree of data volume stagnation during the exchange process of the encrypted electronic information. Among them, the steps for calculating the data volume exchange stagnation coefficient based on the data exchange quantities are as follows: Obtain the data exchange quantity at each moment during the exchange process of the encrypted electronic information, and mark the data exchange quantity at each moment as , indicating the sequence number of the data exchange quantity at each moment, = 1, 2, 3, 4,..., , being the total number of the sequence numbers of the data exchange quantities, and is a positive integer; Compare the data exchange quantity at each moment with the preset minimum data exchange quantity. If the data exchange quantity is less than the preset minimum data exchange quantity, then mark the corresponding data exchange quantity as an abnormal data exchange quantity; , Mark each abnormal data exchange quantity again, and mark it as = 0, 1, 2, 3, 4,..., , being the total number of the sequence numbers of the abnormal data exchange quantities; Calculate the data volume exchange stagnation coefficient, and the calculation formula is: , where is the data volume exchange stagnation coefficient, is the preset minimum data exchange quantity.

[0028] It should be noted that in the process of calculating the data volume exchange stagnation coefficient, the acquisition methods of the data involved include: First, the data exchange quantity at each moment is collected in real time through a network monitoring system or a communication protocol stack. These data exchange quantities are usually monitored by network switching devices (such as routers, switches, or gateways), and the data transmission volume at each moment is recorded, reflecting the size or transmission rate of the data exchanged each time. The data can be obtained through network traffic analysis tools (such as Wireshark or SNMP monitoring), or through application layer log records. At each moment, these exchange quantities are marked and stored as a data point, forming a time series data set. Then, by comparing these data exchange quantities with the preset minimum data exchange quantity (usually a threshold set based on network load and expected transmission requirements), the abnormal exchange moments below this threshold are identified. Finally, the data volume exchange stagnation coefficient is calculated based on the number of abnormal data exchanges and the total exchange quantity, so as to evaluate the stability of data transmission and potential transmission delay problems.

[0029] It should be noted that the smaller the data volume exchange stagnation coefficient, the smaller the leakage risk of the encrypted electronic information during the exchange process. The reason is that the data volume exchange stagnation coefficient reflects the smoothness and timeliness of information during the exchange process. A lower stagnation coefficient means that during data transmission, the information flow is more stable, the speed and stability of data transmission in the network are better, thus reducing potential problems such as latency, packet loss, or retransmission. These problems often provide opportunities for attackers. For example, attackers may tamper with or replay attacks on data through network latency or packet loss vulnerabilities. The smoothness and timeliness of data exchange help to avoid these risks because less stagnation means that data is transferred from the source to the target almost in real time, reducing the possibility of information being interfered with externally or intercepted during transmission. In summary, when the data volume exchange stagnation coefficient is small, the stability of the network environment is high, and the risk of data leakage decreases accordingly.

[0030] In one implementation, the advantage of analyzing the data volume exchange stagnation coefficient for determining whether there is a leakage risk during the exchange process of encrypted electronic information is as follows: it can reveal whether there are phenomena of transmission delay or interruption during the data exchange process, and these delays are often caused by unstable network or malicious interference. If significant stagnation occurs during the exchange process, it may mean packet loss, retransmission, or being tampered with midway, increasing the risk of information being intercepted or leaked. Secondly, through the quantitative data exchange stagnation situation, the system can monitor and identify potential network problems or attack behaviors in real time, such as DoS attacks or man-in-the-middle attacks, etc., so as to take preventive measures in a timely manner. Finally, the calculation of the data volume exchange stagnation coefficient can also help optimize the network configuration, ensure appropriate redundancy or encryption measures are taken when the network environment is unstable, and reduce the potential leakage risk. Therefore, as a real-time monitoring indicator, the stagnation coefficient not only provides a quantitative basis for judging the risks in the data exchange process, but also can effectively improve the security protection ability of the system.

[0031] In one embodiment, the encrypted leakage risk coefficient is calculated based on the anti-attack ability coefficient, the network environment fluctuation coefficient, and the data volume exchange stagnation coefficient, and the encrypted leakage risk coefficient is compared with the preset encrypted leakage risk coefficient threshold to determine whether there is a risk of encrypted leakage during the exchange process of electronic information and whether it is necessary to continue the exchange process; Among them, the steps for calculating the encrypted leakage risk coefficient based on the anti-attack ability coefficient, the network environment fluctuation coefficient, and the data volume exchange stagnation coefficient are as follows: ; In the formula, is the encrypted leakage risk coefficient, , and are the anti-attack ability coefficient, the network environment fluctuation coefficient, and the data volume exchange stagnation coefficient respectively, 、 are respectively , and 's preset proportional values, and 、 are all greater than 0; It should be noted that 、 is set by professionals according to the actual situation. Generally, 、 's sum is 1. For example, 、 They can be 0.3, 0.3, 0.4 respectively, or other numbers, and there is no specific limitation; in addition, before calculating the encryption leakage risk coefficient, it is necessary to normalize the anti-attack ability coefficient, network environment fluctuation coefficient, and data volume exchange stagnation coefficient, and map them to the value range of 0-1.

[0032] In one embodiment, comparing the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether to continue the exchange process includes the following steps: Compare the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold. If the encryption leakage risk coefficient is less than the preset encryption leakage risk coefficient threshold, there is no risk of encryption leakage during the electronic information exchange process, and the electronic information exchange process continues. If the encryption leakage risk coefficient is not less than the preset encryption leakage risk coefficient threshold, there is a risk of encryption leakage during the electronic information exchange process. Immediately stop the electronic information exchange process and send an alarm signal.

[0033] It should be noted that the preset encryption leakage risk coefficient threshold is set by professionals according to the actual situation, and there is no specific limitation or elaboration.

[0034] It should be noted that comparing the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold is a key step in judging whether the encryption security during the electronic information exchange process is guaranteed. If the encryption leakage risk coefficient is less than the preset threshold, it means that factors such as the encryption algorithm, network signal stability, and data exchange fluency have not shown obvious abnormalities, indicating that the encrypted information will not be easily leaked or cracked during transmission. Therefore, the electronic information exchange process can continue with confidence. However, if the encryption leakage risk coefficient is greater than or equal to the preset threshold, it indicates that potential security risks may have been exposed in some links during the encryption process, such as insufficient anti-attack ability of the encryption algorithm, unstable network signal, or stagnation of data exchange. These factors may lead to the risk of encrypted information being leaked or tampered with during the exchange process. At this time, the system will automatically stop the electronic information exchange process and send an alarm signal in a timely manner to remind relevant personnel to take further security measures to prevent data leakage incidents. Through such a mechanism, potential security threats can be effectively prevented, and the confidentiality and integrity of electronic information during transmission can be ensured.

[0035] Based on the same inventive concept, an embodiment of the present invention also provides an intelligent electronic information exchange processing system. Refer to Figure 2 , Figure 2 is a framework diagram of an intelligent electronic information exchange processing system provided by an embodiment of the present invention. The system includes: Anti-attack ability module: For the encrypted electronic information, obtain the key length of the encryption algorithm used, and calculate the anti-attack ability coefficient according to the key length, which is used to evaluate the anti-attack ability of the encryption algorithm used for encrypting the electronic information; Network environment fluctuation module: Obtain the network signal value of the encrypted electronic information during the exchange process, and calculate the exchange network environment fluctuation coefficient according to the network signal value, which is used to evaluate the instability degree of the network signal of the encrypted electronic information during the exchange process; Exchange stagnation module: Obtain the data exchange quantity of the encrypted electronic information at different moments during the exchange process, and calculate the data volume exchange stagnation coefficient according to the data volume exchange number, which is used to evaluate the degree of data volume stagnation of the encrypted electronic information during the exchange process; Exchange processing module: Calculate the encryption leakage risk coefficient according to the anti-attack ability coefficient, the network environment fluctuation coefficient and the data volume exchange stagnation coefficient, and compare the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to judge whether there is a risk of encryption leakage during the electronic information exchange process and whether it is necessary to continue the exchange process.

[0036] Based on an intelligent electronic information exchange processing system provided by an embodiment of the present invention, in the above manner, when the encrypted information is in the exchange process, it can judge whether there is a leakage risk; it can timely detect and prevent whether the encrypted data in the information exchange process may encounter a leakage risk, ensure that the encrypted data will not be cracked or leaked during the exchange process, and reduce the possibility of safety accidents.

[0037] The above has described an embodiment of the present invention in detail, but the content described is only a preferred embodiment of the present invention and cannot be artificially used to limit the implementation scope of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the patent coverage scope of the present invention.

Claims

1. An intelligent electronic information exchange processing method, characterized in that: The following steps are involved: For encrypted electronic information, obtain the key length of the encryption algorithm used, and calculate the anti-attack capability coefficient based on the key length, which is used to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information; Obtaining the network signal value of the encrypted electronic information during the exchange process, and calculating the exchange network environment fluctuation coefficient based on the network signal value, so as to evaluate the instability of the network signal during the exchange process of the encrypted electronic information; Obtaining the data exchange quantity at different moments in the exchange process of the encrypted electronic information, and calculating the data exchange stagnation coefficient according to the data exchange quantity, so as to evaluate the degree of data stagnation in the exchange process of the encrypted electronic information; The encryption leakage risk coefficient is calculated based on the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, and the encryption leakage risk coefficient is compared with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage in the electronic information exchange process and whether the exchange process needs to continue.

2. The intelligent electronic information exchange processing method according to claim 1, characterized in that: The steps to calculate the anti-attack capability coefficient based on the key length are: Get the key length of the encryption algorithm used , calculate the complexity of brute force cracking, the calculation formula is: , where is the complexity of brute force cracking. The time complexity of cracking is calculated based on the complexity of brute force cracking. The calculation formula is: , where To solve the time complexity, The number of executable operations performed by the attacker per second for brute force attacks; based on the complexity of the brute force attacks And cracking time complexity Calculate the anti-attack capability coefficient, the calculation formula is: , where is the anti-attack capability coefficient, and They are and The preset scaling factor of and Both are greater than 0.

3. The intelligent electronic information exchange processing method according to claim 1, characterized in that: The steps to calculate the exchange network environment fluctuation coefficient based on the network signal value are: Obtain the actual network signal between the exchange parties at each moment during the exchange process of the encrypted electronic information, and mark the actual network signal as , Indicates that during the exchange of encrypted electronic information, the two parties exchange information at each moment The actual network signal sequence number, =1, 2, 3, 4, ..., , is the total number of sequence numbers of actual network signals, and is a positive integer; The calculated standard deviation is used as the exchange network environment fluctuation coefficient, and the calculation formula is: , where is the actual average value of the network signal, and the expression obtained is: .

4. The intelligent electronic information exchange processing method according to claim 1, characterized in that: The steps to calculate the data exchange stagnation coefficient based on the amount of data exchange are: Obtain the number of data exchanges at each moment during the exchange process of the encrypted electronic information, and mark the number of data exchanges at each moment as , The sequence number indicating the number of data exchanges at each moment, =1, 2, 3, 4, ..., , The total number of sequence numbers for the number of data exchanges. is a positive integer; Compare the data exchange quantity at each moment with the preset minimum data exchange quantity. If the number of data exchanges is less than the preset minimum number, the corresponding number of data exchanges is recorded as an abnormal number of data exchanges; Re-mark each abnormal data exchange quantity as , A sequence number indicating the number of abnormal data exchanges. =0, 1, 2, 3, 4, ..., , The total number of sequence numbers for the number of abnormal data exchanges; Calculate the data volume exchange stagnation coefficient, the calculation formula is: , where is the data volume exchange stagnation coefficient, The preset minimum amount of data exchange.

5. The intelligent electronic information exchange processing method according to claim 1, characterized in that: The steps to calculate the encryption leakage risk coefficient based on the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient are as follows: ； In the formula, is the risk factor of encryption leakage, , and They are the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient. 、 They are , and The preset ratio value of 、 Both are greater than 0.

6. The intelligent electronic information exchange processing method according to claim 1, characterized in that: The steps to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether it is necessary to continue the exchange process are: The encryption leakage risk factor is compared with a preset encryption leakage risk factor threshold. If the encryption leakage risk factor is less than the preset encryption leakage risk factor threshold, there is no risk of encryption leakage in the electronic information exchange process, and the electronic information exchange process continues; If the encryption leakage risk factor is not less than the preset encryption leakage risk factor threshold, there is a risk of encryption leakage in the electronic information exchange process, the electronic information exchange process is immediately stopped, and an alarm signal is issued.

7. An intelligent electronic information exchange processing system, used to implement an intelligent electronic information exchange processing method as described in any one of claims 1 to 6, characterized in that: The system comprises: Anti-attack capability module: For encrypted electronic information, the key length of the encryption algorithm used is obtained, and the anti-attack capability coefficient is calculated based on the key length, which is used to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information; Network environment fluctuation module: obtains the network signal value of the encrypted electronic information during the exchange process, and calculates the exchange network environment fluctuation coefficient based on the network signal value, which is used to evaluate the instability of the network signal of the encrypted electronic information during the exchange process; Exchange stagnation module: obtains the data exchange quantity of the encrypted electronic information at different moments in the exchange process, and calculates the data exchange stagnation coefficient according to the data exchange quantity, which is used to evaluate the degree of data stagnation of the encrypted electronic information in the exchange process; Exchange processing module: Calculate the encryption leakage risk coefficient based on the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, and compare the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage in the electronic information exchange process and whether the exchange process needs to continue.

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