18results about How to "Improve data security" patented technology

The application discloses an unmanned aerial vehicle intelligent sensing and intention reasoning system and device, which comprises image acquisition, target detection, knowledge graph, multi-modal large model, airborne computing power and edge-cloud cooperation module. The system is guided by target detection, enhances scene knowledge through the knowledge graph, improves the analysis ability of the multi-modal large model, and realizes the intelligent monitoring of the unmanned aerial vehicle based on the RK3588 platform. Real-time monitoring is realized by using the maneuverability of the unmanned aerial vehicle, which can not only analyze the scene, but also infer and predict the behavior intention and situation, thereby realizing early warning. The local and cloud systems are equipped with a historical database, a visual interface and a large parameter model, and the returned information is deeply analyzed. The system can be applied to the scenes of border patrol, city security, animal protection and the like.

This invention discloses an automated terminal equipment operation status monitoring device and method, belonging to the field of power distribution automation equipment monitoring technology. The device consists of an MCU, a current signal acquisition module, a voltage signal acquisition module, a temperature acquisition module, an A / D converter module, a power supply module, an alarm module, a communication recording module, a data storage module, and a display module. Each module is electrically connected according to a preset configuration to form a complete monitoring architecture. Based on this device, the method sequentially executes the following steps: system initialization self-calibration, multi-source signal synchronous acquisition and preprocessing, fault judgment threshold dynamic correction, multi-dimensional feature fusion fault analysis, hierarchical linkage response and data partitioning storage, and cyclic monitoring. This invention improves the accuracy of fault detection and analysis, can quickly locate faults and respond hierarchically, significantly shortens repair time, effectively improves the operation and maintenance management capabilities of terminal equipment, and ensures the safety of power distribution networks and equipment.

The application discloses a food additive production management and control system and method based on intelligent scheduling, and relates to the technical field of additive production.The application comprises a printing step and an extraction step, and the printing step comprises the following steps: a scheduling unit acquires scheduling records of a production workshop and uniformly uploads the scheduling records to a processing unit; the processing unit saves the scheduling records to a database, and simultaneously executes a data classification program according to the data length L of the scheduling records to obtain data blocks and a compression algorithm; the processing unit acquires packaging pictures from the database; the processing unit executes a picture fusion program according to the data blocks and the compression algorithm to obtain fused pictures; and the processing unit synchronously saves the fused pictures to the database.The application hides the scheduling records in the packaging pictures of each product through the data blocks and the compression algorithm, can realize distributed storage of the scheduling records, improves data security, avoids artificial tampering of the scheduling records, and improves the authenticity of the scheduling records.

This invention provides a method and apparatus for compressing and encrypting snapshots of multiple 3D color objects based on spatial division multiplexing. The method includes: generating an object beam and a reference beam based on a three-primary-color laser source, and generating multiple composite three-color parallel beams based on the object beam; illuminating each 3D color object and a random phase mask connected to each 3D color object with the multiple composite three-color parallel beams, respectively, and calculating the light field distribution of each 3D color object on the corresponding random phase mask plane; encrypting the light field distribution using each random phase mask, and generating an object light field on a detector plane based on the encrypted light field distribution; and generating an encrypted color hologram of multiple 3D color objects by interfering with the reference beam on the detector plane through the object light field and the reference beam. This method can significantly reduce the crosstalk effect during decoding of different encrypted objects, greatly reduce the leakage of object information, and significantly improve security.

A method is disclosed that includes receiving an alias resolution request message including an alias from a transfer server, and then transmitting the alias resolution request message including the alias to each of a plurality of mapping computers. Then, a plurality of alias resolution response messages are received from the plurality of mapping computers, the plurality of alias resolution response messages respectively including a plurality of credentials or tokens. Then, a credential or token is determined from the plurality of credentials or tokens, and the determined credential or token is transmitted to a transfer server computer. The transfer server computer uses the determined credential or token to conduct a transaction process.

This invention provides a method and system for compressing power messages, relating to the field of power system control technology. The method includes: acquiring power messages via a first FPGA; timestamping the acquired power messages; caching the timestamped messages in a first shared memory; extracting messages from the first shared memory; parsing the messages according to their type and classifying and storing them in a second shared memory; extracting messages from the second shared memory by control block using a second FPGA; compressing the compressed packages corresponding to the control blocks; storing the compressed packages in a third shared memory; packaging and secondary compression according to a set time period; generating a total compressed package for that time period; and storing it on an SSD for dual-disk storage. This invention effectively reduces the storage space requirements for historical messages, improves the storage time of historical messages, and solves the problem of frequent failures in storing historical messages for post-event analysis of power systems.

This invention discloses an OTA upgrade and rollback method for an electric two-wheeled vehicle controller and an electric two-wheeled vehicle. The controller includes an MCU and a Bluetooth chip. The MCU's flash memory is divided into a bootloader guidance area and an APP running area, while the Bluetooth chip's flash memory is divided into a Bluetooth APP area and an MCU program backup area. The method includes: after the controller is powered on, the MCU chip enters the guidance area, detects a valid upgrade flag, backs up the current firmware in the APP running area, and encrypts and transmits it to the backup area. After the backup is completed, an OTA upgrade is performed. After the upgrade is completed, the guidance area verifies the upgraded firmware in the APP running area. If the verification passes, it jumps to the running area and sets the upgrade flag to invalid; if the verification fails, a rollback process is triggered. The guidance area decrypts the firmware stored in the backup area and rolls it back to the APP running area. By utilizing the remaining space resources of the Bluetooth chip, the overall resource utilization efficiency of the controller is improved.

This disclosure provides a data collection method, apparatus, electronic device, and storage medium, relating to the field of mobile communication technology. The method includes: a first network element sending a first information acquisition request to a UDM network element; receiving data collection subscription information corresponding to a terminal returned by the UDM network element; and determining a target data collection method based on the data collection subscription information corresponding to the terminal. The method provided in this disclosure can, based on requesting data collection subscription information from a UDM network element, allow the first network element to selectively determine a data collection method. Therefore, this disclosure can achieve user data collection while improving user data security and preventing the leakage of user privacy.

This specification provides a storage management method, apparatus, device, and readable storage medium. The method includes: acquiring the wear life of each managed flash drive according to a preset plan; sorting the wear life of each flash drive in response to an event that a flash drive's wear life has reached a preset first threshold; updating a load balancing strategy based on the sorting result of the wear life of each flash drive, the load balancing strategy including writing more data to flash drives with higher wear life than to flash drives with lower wear life; and distributing a corresponding proportion of business I / O load to each flash drive according to the load balancing strategy. Through the technical solution of this specification, the wear life of each flash drive is actively monitored, and the write load strategy is dynamically adjusted when a preset threshold is reached, so that flash drives with higher wear levels bear more business write volume, actively guiding the wear progress of multiple flash drives in the cluster to differentiate, and avoiding concentrated simultaneous failures.

This invention provides a data transmission method and system for smart devices based on a 5G communication module. The data transmission method includes: real-time hierarchical processing of data packets to be transmitted according to a preset hierarchical strategy; real-time monitoring and acquisition of communication link status parameters, and prediction of the service quality change trend of each communication link within a short future time window based on historical status data using a time series prediction model; dynamic decision-making on the transmission path and transmission mode of single or batch data packets based on the priority of the data packets and the current and predicted communication link status, using a preset communication optimization strategy; encrypting the data packets using a data security strategy selected according to the priority and security requirement level of the data packets; and sending the encrypted data packets to a network edge node or cloud as the receiving end. This invention effectively ensures the low latency and high reliability transmission requirements of high-priority data, reducing overall energy consumption and traffic costs under 5G networks.

This invention discloses a message security detection method, device, and storage medium. The method includes: acquiring a message to be detected based on an intermediate system-to-intermediate system routing protocol; determining a first data structure for the message content based on the message to be detected; if a pre-determined message detection rule determines the existence of a historical message to be detected, analyzing the historical message and the first data structure to determine the message's legitimacy. This solves the problem of not being able to detect abnormal ISIS messages in a timely manner. By analyzing the message to be detected to determine the first data structure for the message content, and determining whether a historical message to be detected exists according to the pre-determined message detection rule, if so, analyzing the historical message and the first data structure to determine the legitimacy of the message to be detected, this invention achieves security detection of messages formed by intermediate system-to-intermediate system routing protocols, enabling timely detection of abnormal messages and improving data security.

This application provides a method, apparatus, device, and storage medium for self-destruction of NOR flash chip data, applied in the field of non-volatile memory device technology. By configuring a mode status bit in the volatile status register of the non-volatile memory device, and based on the actual destruction mode indicated by the mode status bit, upon receiving a self-destruct trigger command, data erasure operations are preferentially performed on a predefined priority destruction area. Subsequently, an erasure control signal is generated for the remaining areas for subsequent erasure. After all erasure operations are completed, the non-volatile memory device is placed in a shielded and locked state. In this state, the read interface responds to read requests by outputting preset mask data, and the device is prohibited from executing the normal boot process. This method has the advantage of preventing any form of data recovery and chip reuse, greatly improving the data security of the NOR flash chip and effectively resisting the risks of physical attacks and information leakage.

The application provides a multi-regulatory domain real-time compliance decision and data management method for humanoid robots, and relates to the technical field of robot control and data security. The method comprises the following steps: acquiring environment perception, ontology state and target task instruction in real time; identifying the current regulatory domain based on the environment perception data and calling the corresponding regulatory constraint set; calculating the dynamic compliance influence factor according to the ontology state, the task instruction and the regulatory constraint set; generating an executable subtask sequence that conforms to the regulatory constraint set based on the factor to decompose and reconstruct the task instruction; monitoring the interactive data flow in real time during execution, calculating the regulatory domain operation entropy based on the data privacy rules and the dynamic compliance influence factor; judging whether the entropy exceeds the preset safety threshold; if yes, triggering the blocking, desensitization or degradation processing, and outputting the final control instruction. The application realizes multi-regulatory domain real-time compliance decision and dynamic data management, avoids cross-domain violations, guarantees privacy security, and continuously optimizes the decision accuracy through a self-learning mechanism.

The application discloses a network security threat event report generation method and system, and belongs to the network security field.The method comprises the following steps: acquiring a network security threat event log, pre-processing the log, extracting key information by using a pre-trained ERNIE-Gram model, and generating structured knowledge points; integrating the knowledge points into a feature vector, inputting the feature vector into a KAN model for nonlinear feature extraction and multi-level feature fusion, and generating fusion feature data; inputting the fusion feature data into an OverLoCK model, performing multi-stage feature extraction and aggregation through a dynamic context guiding mechanism of the model, and generating summary semantic analysis information; standardizing the semantic analysis information, inputting the semantic analysis information into a pre-trained federal decision tree model, matching a decision path of the federal decision tree model according to a global split rule, and outputting an interpretable security event report containing a confidence distribution.The application can improve the accuracy and interpretability of threat event report generation.

The present application relates to the technical field of data analysis, and discloses a multi-dimensional deep analysis report generation method, device, equipment and medium, comprising: performing format identification and content extraction on multi-source survey feedback original files to form a unified structured data set, obtaining a standardized analysis data set through data cleaning and privacy desensitization; analyzing the standardized analysis data set to obtain data distribution characteristics and content complexity; matching a target analysis strategy model according to the data distribution characteristics and the content complexity and obtaining a multi-dimensional deep analysis result; and calling a report template according to the analysis result to generate an analysis report. The present application can be applied to business scenarios such as financial technology and medical health, and through unified analysis of multi-format data and combination of automatic analysis and template filling mechanisms, automation of survey data processing and report generation is realized, data integration capability, analysis depth and generation efficiency are improved, and data security is enhanced.

This utility model relates to the field of protective structure technology, and in particular to a security protection structure for a wind farm data center. It includes a wind farm data center warehouse with a doorway. A security door is rotatably installed inside the doorway, and the security door is equipped with a handle mechanism, an unlocking mechanism, and a locking mechanism. The unlocking mechanism includes an unlocking compartment located outside the security door. A controller, an alarm, and a battery are fixedly installed inside the unlocking compartment. The controller has a password keypad and a fingerprint sensor area. An inner groove is provided inside the unlocking compartment, and a hidden valve plate is slidably installed inside the inner groove. The unlocking mechanism of this utility model employs protective measures, making it difficult to open the door even if the password or fingerprint is obtained by unauthorized personnel, thus strengthening the protection level of the security door and significantly improving the data security of the wind farm data center warehouse.

This application provides a website matching method, apparatus, device, and storage medium to address the problem of significant limitations in website matching. The method includes at least: extracting features from multiple sub-websites belonging to a main website to obtain a URL feature set corresponding to each of the sub-websites; fusing and encoding the URL feature sets to obtain a website fingerprint of a first website, where the first website includes the main website and the web pages corresponding to each of the multiple sub-websites; and generating a website matching result based on the fingerprint similarity between the website fingerprint of the first website and the reference website fingerprints of multiple pre-stored reference websites. The website fingerprint generation process does not involve the acquisition of web page content, thus avoiding the significant limitations in website matching caused by the acquisition of web page content.