89results about How to "Improve data security" patented technology

The invention belongs to the technical field of automobile information safety fuzzy testing, discloses an automobile information safety fuzzy testing method based on a large model, and develops optimization application research of LLMs in an automobile software fuzzy testing scene by utilizing the advantages of an artificial intelligence technology in the aspects of data processing, natural language interaction, generalization ability and the like. The concealment and effectiveness of the test set generated by the fuzz test are optimized, and the fuzz test process efficiency is improved. Through the implementation of the invention, related key technologies are applied to the fuzz test of the automobile, and other related products and enterprises in China are radiated by writing technical standards, so that the fuzz test system can be used as an application demonstration and sample plate of the fuzz test of the intelligent driving automobile. According to market analysis, fuzzy test calculation is carried out on 100 thousand automobiles every year according to the method, and the data safety and the system safety are improved.

The invention discloses an SCADA (supervisory control and data acquisition) system optimization method for an intelligent power grid, which improves data processing efficiency and system response speed by performing data grading processing on edge computing nodes, and reduces data transmission load by adopting a differential transmission strategy and an intelligent compression technology. A deep learning algorithm is utilized to construct a self-learning fault prediction model to enhance fault prediction and diagnosis capability, a multi-layer data security and privacy protection mechanism is introduced to improve data security and privacy protection, and an intelligent scheduling module is introduced to enhance system collaboration and dynamic adaptability. According to the comprehensive optimization methods, the real-time performance, reliability and safety of the SCADA system are remarkably improved, so that the SCADA system is more suitable for the complex environment of the smart power grid, and the efficient, stable and safe operation requirements of the smart power grid for the SCADA system are met.

The invention discloses a corpus standardized template construction and file automatic generation method and system, and the system comprises a template construction module, a file generation module, a verification module, a user interface module, a storage and management module, an extension and optimization module, and a quality evaluation module. The standardized management of the corpus is realized, the problem that the structure and format of the corpus lacks unified standards in the traditional method is solved, and the compatibility and sharing of the corpus are improved. Meanwhile, data cleaning, format conversion and multi-modal data integration technologies are combined, corpus files meeting template requirements are automatically generated, the data processing flow is simplified, and the risk of data inconsistency or loss is reduced.

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.

The invention relates to the technical field of data transmission, in particular to a processing and risk assessment method and device for mass files and asset data and a medium, and the method comprises the steps: dividing to-be-processed mass files and asset data into a plurality of data clusters; based on a duration evaluation algorithm and a risk evaluation model, calculating the expected total processing duration and the risk level of each data cluster, and processing each data cluster according to the expected total processing duration and the risk level; performing real-time feature extraction and vectorization representation on the asset data, and matching asset features with a risk information feature library to identify and evaluate the risk of the asset features; when it is monitored that the data cluster transmission state or asset data analysis is abnormal, an auxiliary processing thread is started to continue executing the next task in the data cluster, the average processing speed of the corresponding data cluster is updated, and the total processing duration of the remaining tasks is evaluated again. Therefore, the data processing efficiency and the data security of the power system are improved.

The embodiment of the invention discloses a data transmission method and device based on a longitudinal encryption authentication device and a readable medium. A specific embodiment of the method comprises the following steps: carrying out dynamic identity confirmation on a target substation; generating a data transmission tunnel and transmission configuration information; carrying out data packet grouping on to-be-transmitted data packets in the to-be-transmitted data packet sequence; generating an identity verification label corresponding to the to-be-transmitted data packet group; according to the data security configuration information and the longitudinal encryption authentication device, performing data encryption on a data load in a to-be-transmitted data packet in the to-be-transmitted data packet sequence and the obtained identity verification tag sequence; and transmitting the encrypted data packet sequence to the target substation through the data master transmission tunnel, and transmitting the encrypted identity verification tag sequence to the target substation through the data slave transmission tunnel. According to the implementation, the data transmission logic is optimized, the data delay is reduced, and the data security of the data related to the power system in the data transmission process is ensured.

The invention is suitable for the field of product production, and provides an equipment production method and device, equipment, a storage medium and a program product.The method includes the steps that when an external person logs in an account, a verification procedure is completed only in a simple control triggering mode in the verification process of a target sample, the external person is prevented from checking related parameter information of the target sample, and the verification efficiency is improved. Therefore, the confidentiality of the product and the data security are improved.

The invention provides an electricity-carbon collaborative transaction method and system based on an alliance chain double-chain architecture, and the method comprises the steps: carrying out the network initialization, and guaranteeing that all participating nodes meet the operation requirements of HyperledgerFabric; secret keys and certificates are generated, and identity certificates and secret keys of all organizations in the network are generated through an encryption tool provided by Fabric; defining a configuration and creation block, creating a configuration file to define an organization structure of a network, and reserving a channel and chain code configuration of the network; two channels are configured, and two independent channels are established for the electricity market and the carbon emission permit market; submitting a user transaction, including user identity verification, transaction proposal generation and endorsement node endorsement; transaction verification and packaging, including transaction packaging and sorting, and block verification and submission; and intelligent contract auditing: triggering the intelligent contract, auditing the electricity and carbon data and processing abnormal data. The transaction efficiency and the data security can be improved, and the market transparency and the collaborative operation of the electricity and carbon market are promoted.

The invention discloses a circuit for storing parameters by using an excitation loop of an electromagnetic flowmeter and an implementation method. The circuit comprises an MCU (Microprogrammed Control Unit) chip, a rectifying and voltage stabilizing circuit, a state judging circuit and a data return circuit, wherein the rectifying and voltage stabilizing circuit consists of a rectifying full bridge, a rectifying diode, a filtering capacitor and a low-power-consumption voltage stabilizer which are connected with an excitation loop of the electromagnetic flowmeter; the state judging circuit consists of a voltage comparator and a divider resistor; and the data return circuit consists of a constant-current device and a controlled switching device. By controlling the voltage state and the current state in the excitation loop, writing, storage and reading of parameter data are realized. Under the condition that the number of connecting lines between the converter and the sensor is not increased, parameters can be stored along with the sensor, and parameter backward reading is completed through the excitation loop when the converter is replaced, so that the maintenance efficiency is improved, and the safety of parameter data is enhanced.

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 present disclosure provides an interaction method, which can be applied to the technical fields of artificial intelligence, information security, computer software and the like, and the method comprises: in response to a first application program being started, calling a second application program, wherein the second application program is in a trusted execution environment; based on interaction information received by the second application program, generating a target interaction request and a disturbance request; sending the target interaction request and the disturbance request to a server to execute an interaction task by using the server, so as to obtain a target interaction result generated in response to the target interaction request and a disturbance result generated in response to the disturbance request; and feeding back the target interaction result to a target object. The present disclosure also provides an interaction device, an electronic device, a storage medium and a program product.

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.

Disclosed in the embodiments of the present disclosure are a desensitization method and apparatus for image data, wherein the desensitization method comprises: determining a target image channel, which needs to be subjected to target recognition, in a native image; performing image restoration on native data corresponding to the target image channel, so as to obtain a single-channel image corresponding to a color component of the target image channel; recognizing a target object from the single-channel image; determining a sensitive area in the native image on the basis of the target object; and performing data desensitization processing on the native data in the sensitive area. By means of the embodiments of the present disclosure, it can be guaranteed that privacy image data cannot be stored and leaked in a subsequent digital image signal processing process, thereby providing protection for the privacy data from the start of the generation of image data, and thus improving data security.

The application provides a steel structure management system, which integrates a contract information collection submodule, a third-party OCR calling submodule, a local open source large model processing submodule, an order information mapping entry submodule and an information checking and review submodule in an order management module, forms a full-process automatic processing system from contract collection, character recognition, semantic analysis, structured extraction, automatic entry to checking and review, and realizes accurate differentiation of printed and handwritten information, positioning of core elements and standardized conversion of formats through local deployment of an open source large model and special fine tuning for a steel structure contract scene, thereby completely solving the problems of low efficiency of manual entry, difficulty in handwritten character recognition and data privacy leakage. The application greatly reduces manual intervention, improves the accuracy of order information entry and the security of data, and promotes the intelligent and efficient transformation of order management of steel structure enterprises.

The invention relates to a multi-span collaborative study and judgment method based on a thinking brain map. The method comprises the following steps: constructing the thinking brain map by taking a case event as a central point and taking a case element as a node; in response to a collaborative editing operation of any user on the thinking brain map in multi-span collaboration, identifying an operation type of the collaborative editing operation; if the operation type is a modified node type, identifying a first target node corresponding to the collaborative editing operation in the thinking brain map, and obtaining editing content of the collaborative editing operation; standardizing the edited content through a preset data format to obtain standardized edited content, and updating a first target node in the thinking brain map according to the standardized edited content; and encrypting the updated thinking brain map, and pushing the encrypted thinking brain map to each user of the intranet from the extranet by adopting a secure data transmission technology, so that each user carries out case research and judgment through the updated thinking brain map. According to the method, cross-network and cross-department multi-person collaborative research and judgment can be realized, and the research and judgment efficiency and the data security are improved.

The present invention relates to a query system based on data analysis, and in particular to the technical field of database management. The query system comprises a user information management module for implementing dynamic authority management for users, a data source management module for managing user requests, caches, data sources and data security, and a database management module for managing a number of databases. The present invention analyzes the query request of the user to determine whether the user request exists in the cache, so as to determine the selection of the query mode for the query request, thereby making flexible selections in the query process, and setting different supervision strengths in the corresponding query mode to supervise the query process, thereby improving the accuracy of control over the data query process.

The embodiment of the invention provides a computing power resource transaction method and a block chain system, and the method comprises the steps: a first block chain node receives a creation request of a computing power resource transaction order, generates order information according to a resource identifier and a resource number, and returns the order information to a client; the first block chain node belongs to an order channel; the second block chain node receives the payment request, generates a payment acceptance voucher according to the order information and returns the payment acceptance voucher to the client; the second block chain node belongs to a payment channel; the first block chain node receives the payment success synchronization request, updates order information according to the payment completion voucher, and returns the updated order information to the client; the third block chain node receives the computing power resource scheduling request, and performs computing power resource scheduling according to the updated order information; the third block chain node belongs to a computing power resource management channel; the order channel, the payment channel and the computing power resource management channel are in mutual data isolation. According to the embodiment of the invention, the data security of computing power resource transaction is improved.

The application discloses a kind of data processing methods, systems and storage medium of autonomous operation of cross-industry alliance, it is related to business data processing technical field, method includes: based on the unique digital identity identification of user generation for blockchain data base, and the behavior record of user in cross-industry alliance node is written into blockchain account book, and the digital assets of chain on authentication are formed by intelligent contract processing;Dynamic user portrait is constructed by user intelligent agent, and the resource state of merchant side is collected by merchant intelligent agent and generates lead demand data;Cross-industry joint consumption coupon package strategy is generated by scheduling intelligent agent, and joint consumption coupon package is generated and put by intelligent contract, and the state of updating and canceling is executed cross-merchant fund clearing and data settlement.By the technical scheme of the application, chain on authentication, intelligent agent cooperation, coupon package generation, right and interest cancellation and automatic clearing and settlement data processing closed loop can be formed, the consistency and credibility of cross-industry right and interest circulation and settlement processing are improved.

The application provides a fruit and vegetable recognition and supply management method and system based on edge computing, and relates to the technical field of Internet of Things and smart home, and comprises the following steps: acquiring fruit and vegetable management multi-source data; pre-processing fruit and vegetable images to obtain to-be-recognized fruit and vegetable images, inputting the to-be-recognized fruit and vegetable images into a preset fruit and vegetable recognition model for recognition to obtain fruit and vegetable categories; updating inventory states according to the fruit and vegetable categories and corresponding weight data, and adjusting storage environment conditions based on the fruit and vegetable categories and a preset storage condition suggestion library; calculating historical consumption based on the weight data, and generating fruit and vegetable management decisions according to the inventory states, inventory time information and the historical consumption; and outputting the fruit and vegetable management decisions to terminal equipment. The application realizes high-precision recognition, dynamic inventory management and intelligent supply decisions of fruits and vegetables.

The invention discloses a multi-user encrypted data cross-domain search method based on a constant-level query token, and relates to the field of encrypted data range search. A system model is composed of a user group, data owners of different search domains, a block chain and a cloud server. The method comprises an initialization stage, a key distribution stage, an index construction stage, a token generation stage and an authorization query stage. A data owner constructs a sequence weighted inverted index to realize a randomized constant-level query token, and a binary tree sorting tree is used for storing different values to determine a search range, so that the query overhead is reduced, and the security of a query process is improved; a request chain and an authorization chain are introduced to store key information related to a user and a data owner and carry out index construction and search, so that safe search is realized. According to the method, the overhead of multiple users in the range search process is reduced, the security in the query process is improved, and the security and integrity of query information during multi-data-field range search are ensured.

The present application provides a network security defense method, system and storage medium, including: obtaining garbage collection parameter settings of a log structure file system, including a recycling threshold, a log segment size, a data validity period and a metadata management rule, evaluating the garbage collection efficiency and resource utilization of the system under the current settings, and identifying potential optimization points; according to the sensitive data definition and classification rules, using a decision tree model to identify and classify sensitive data in log structure files, obtaining data sets of different sensitivity levels, and setting different migration frequency thresholds and encryption strengths for sensitive data of different sensitivity levels; establishing a comprehensive system monitoring and log analysis platform, tracking garbage collection efficiency, sensitive data processing and system performance indicators in real time, and adaptively optimizing and dynamically adjusting garbage collection parameters and sensitive data processing mechanisms according to monitoring data and preset rules.

The present application discloses an artificial intelligence (AI) task control method, a terminal, a base station, and a storage medium. The base station comprises: a first functional module configured to perform at least one of the following functions by interacting with the terminal: AI task control, AI task execution, network decision generation, and data management for the terminal.

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.

The application discloses a data encryption and decryption method based on a big data platform, and comprises the following steps: data source access; judging whether the data source is sensitive data; if the data source is non-sensitive data, processing the data source according to a normal data specification process; if the data source is sensitive data, entering a sensitive data area; when the data in the sensitive data area is needed, according to user requirements, the sensitive data is trimmed and aggregated according to user requirements, and after processing, an encryption UDF function is called to encrypt the data, and the data is pushed to a non-sensitive data area for subsequent data integration or output; after the data integration processing of the sensitive data is completed, the data is synchronously input into a kylin database or a mysql database according to requirements; when the classified data is queried, an OTP check code is input, and after verification, the sensitive data field is displayed; the encryption method is more flexible, and the encryption mode is safer.

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.

The invention relates to a data quality monitoring system and method under data security and privacy protection. The system comprises a basic information management module, a metadata integration Agent module, an intelligent classification and grading Agent module, a desensitization rule generation Agent module, a desensitization rule execution Agent module, a monitoring rule generation Agent module, a monitoring rule execution Agent module, a monitoring and abnormity early warning Agent module, a system optimization Agent module and a visualization module. According to the method, the classification and grading technology, the desensitization technology and the large model technology are combined for data quality monitoring, data differential protection can be achieved, quality monitoring rules can be intelligently generated, differential monitoring strategy configuration based on data service importance and sensitivity can be achieved, safe and explainable anomaly analysis and reports are provided, and the safety and reliability of data quality monitoring are improved. Therefore, the pertinence, the safety and the self-adaptive capability of monitoring are improved.

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 provides a CPU power-down delay monitoring circuit, including a power supply unit, an energy storage capacitor, a sampling unit, and a control unit. The power supply unit supplies power to the control unit, the sampling unit, and the control unit, and charges the energy storage capacitor. The energy storage capacitor stores electrical energy and provides backup power to the control unit and the sampling unit when the power supply unit fails. The sampling unit collects voltage data from the energy storage capacitor and transmits it to the control unit. The control unit evaluates the state of the energy storage capacitor based on the data collected by the sampling unit, and uses the electrical energy provided by the energy storage capacitor to complete data saving and control the AGV system to perform a safe shutdown operation when power fails. By monitoring the voltage data of the energy storage capacitor in real time through the sampling unit, the system can intelligently prioritize data saving and perform safe shutdown operations of the AGV based on the actual condition of the capacitor when the power supply suddenly fails, solving the problems of data loss and equipment safety hazards caused by capacitor aging or failure in traditional power-down protection systems.

The present application relates to the field of aerospace TT&C and artificial intelligence cross technology, and in particular to a federated learning driven edge node multi-axis collaborative optimization method and system, aiming at the defects of large transmission pressure, poor data security, weak multi-axis collaboration ability, single point failure and the like of traditional TT&C antenna centralized architecture, the system is composed of a central aggregation node, an edge LCU control node and an antenna multi-axis execution mechanism. The system adopts a horizontal federated learning mode, the edge node locally collects and stores original working condition data, and only encrypts and uploads model parameters after completing model training; the central node completes parameter aggregation through a multi-dimensional dynamic weight algorithm, generates a global model and iterates. The present application can optimize antenna multi-axis action timing, tracking accuracy and load distribution, has advantages of data security, low transmission cost, strong robustness, easy expansion and the like, and is suitable for various TT&C antenna cluster scenes.

The application belongs to the field of new generation wireless communication technology, and provides an interference utilization precoding method and system for ISAC system security enhancement. Based on the -PSK structure, the constellation is divided into multiple regions, in each time slot, a region is randomly selected as the DI region, the data security scaling factor based on random DI and its refined version are derived, and the non-convex optimization problem of guaranteeing the communication CI constraint, the data security constraint based on random DI and the transmission power constraint is constructed with the optimization target of maximizing the radar illumination power towards the eavesdropper, and the optimization result is solved. The simulation results show that the security enhanced interference utilization precoding scheme can effectively deal with the intelligent data eavesdropper in the ISAC system, and compared with the existing CI based ISAC precoding scheme and the ISAC precoding scheme based on deterministic DI, it has significant advantages in improving the data security of the ISAC system.