44results about How to "Avoid data breaches" patented technology

The invention relates to the technical field of substation control, in particular to a substation control system based on cloud control and a local area network. Comprising a substation data acquisition module, a data analysis module, a cloud cooperative control module, an edge calculation response module and a safety guarantee module. The substation data acquisition module acquires multi-dimensional data through a local area network, and the data analysis module identifies abnormal and fault modes by adopting a dynamic multivariate autoregression tree algorithm. The cloud cooperative control module performs global load scheduling by using a sparse distributed optimization algorithm, and the edge calculation response module realizes rapid local response control based on a Markov random field model. And the safety guarantee module is combined with deep learning and a multi-factor identity authentication technology to ensure data transmission safety. According to the invention, the automatic control level and the overall operation efficiency of the transformer substation are improved, and efficient, stable and safe intelligent power management is realized.

The invention discloses a wind power master control system based on a safe and credible software and hardware platform, which belongs to the technical field of wind power generation and comprises a data acquisition module, a data analysis module, a monitoring result judgment module, an abnormal unit optimization control module and a data backup module. According to the invention, the data acquisition module acquires the operation monitoring parameters of the wind turbine generator in real time, and the operation monitoring parameters are processed by the data analysis module to obtain the operation monitoring evaluation value, so that the operation state of the wind turbine generator is accurately judged, and accurate monitoring and timely early warning of the wind turbine generator are realized; the problem that in the prior art, a wind power master control system is insufficient in safety performance and reliability is effectively solved, and the safe operation level and the fault handling capacity of a wind power plant are improved.

The invention belongs to the technical field of cloud storage, and particularly relates to an enterprise service management cloud storage system which comprises a system initialization module, a distributed data storage module, a data encryption module, an authority control module, a multi-level cache module, a data backup and recovery module, a log monitoring module and a task scheduling and dynamic extension module. The distributed data storage module is responsible for dividing data in enterprise service management into a plurality of data blocks; the data encryption module is used for encrypting the enterprise service data stored in the cloud; the authority control module is responsible for managing the access authority of the user to the data; the multi-level cache module accelerates data access by configuring a local cache and a global cache; the data backup and recovery module is responsible for backing up the stored data regularly; the log monitoring module records various operation logs of the system; and the task scheduling and dynamic extension module is used for dynamically distributing calculation and storage resources according to the priority of the task and the utilization rate of the system resources.

The invention discloses a power grid marketing data penetration analysis and operation management method and system, and relates to the technical field of power system operation management, and the method comprises the steps: constructing a data label and index library, and carrying out the layered collection and unified arrangement of electricity charge data; developing a penetration analysis model, and realizing business whole-process visualization based on micro-service; a multi-service system is integrated, and a dynamic security policy is deployed to guarantee data and application operation. The method improves the accuracy and efficiency of data processing, enhances the transparency of a business process, optimizes the use of data storage and computing resources, improves the safety and stability of the system, achieves the efficient utilization of power grid marketing data and the optimization of operation management, improves the operation management level of a power enterprise, and also improves the safety of the power enterprise. And reliable data support is provided for enterprise decision making, so that sustainable development of enterprises and improvement of market competitiveness are promoted.

The invention discloses a rapid batch switching authentication method for predictability and aggregation promise proof, which realizes batch authentication of a plurality of user terminals by generating system parameters and secret keys through a trust mechanism and combining predictability promise and aggregation signature technologies. In the authentication process, the edge base station to be switched exchanges with the current communication edge base station through an encrypted message, verification information such as a pre-authentication certificate and a signature is generated through the user terminal, and identity authentication is completed step by step. The method comprises the following specific steps: a trust mechanism generates a private key, a public key, a pseudo identity and an expiration timestamp for each device; through multiple rounds of message exchange, the edge base station and the user terminal perform identity verification by using a shared key and a hash function; and finally carrying out efficient verification on a plurality of users through batch signature and aggregation commitment. According to the method, on the basis of ensuring the security, the speed of switching the authentication process is greatly improved, and the method is suitable for a large-scale network environment, especially in edge computing and mobile communication networks.

The invention discloses a multi-modal file data co-processing management system, which relates to the technical field of file management and comprises a data input layer, a data storage layer, a data processing layer, a business logic layer, an application layer, an integration layer, a security monitoring layer and an infrastructure layer. The method not only supports management and processing of various data types, improves data inclusivity and processing capability, but also has real-time cooperation and version control functions, improves team cooperation efficiency, reduces data conflicts, ensures data integrity and consistency, simplifies data entry, classification, filing and retrieval processes through automatic tools and algorithms, and improves the efficiency of team cooperation. And meanwhile, an intelligent search function is provided, required data can be quickly positioned, a user can remotely access archive data from any place with network connection, the accessibility of the data is improved, the system also supports cross-department data sharing, and the circulation and collaboration of information are promoted.

The invention discloses a warehouse management method and system based on big data, and relates to the technical field of warehouse management, and the method comprises the following steps: 1, data collection and integration; 2, data storage and management; 3, data analysis and intelligent decision making; 4, real-time monitoring and process automation are carried out; and 5, performing performance evaluation and continuous improvement. According to the invention, intelligent decision making and efficiency improvement are realized, through real-time data analysis and prediction analysis, the system can provide real-time inventory state and future demand prediction, and an automatic process is realized, so that decision making quality and warehouse operation efficiency are improved, and human errors are reduced. The intelligent decision support system can provide scientific inventory management suggestions for managers according to historical data and market trends, ensure that the inventory level is matched with market demands, and avoid inventory overstock or shortage.

The invention provides a multifunctional automatic embedded man-machine interaction system, which belongs to the technical field of man-machine interaction and comprises a core processor, a touch display screen, a sensor module, a communication module and a storage module, software covers a multi-mode interaction interface, an automatic task execution module, an intelligent learning and personalized recommendation module and a data security and privacy protection module, the touch display screen is a high-resolution multi-point touch screen, the sensor module comprises various sensors, the communication module has various connection modes, the multi-mode interaction interface supports various operation modes, and the multi-mode interaction interface supports various operation modes. The automatic task execution module can automatically execute tasks according to conditions, the intelligent learning and personalized recommendation module can provide personalized services, the data security and privacy protection module guarantees data security, the problems that an existing system is single in function and low in automation degree, and data security has hidden dangers are solved, and user experience and working efficiency are improved.

The invention relates to a column-level transparent encryption method realized based on openGauss database column storage. The method comprises the following steps of: adding a grammar keyword, and marking a specified column as an encrypted column by utilizing the grammar keyword when a column storage table is created; adding a non-shared system table for storing key information corresponding to the encrypted column; when data are inserted into the column storage table in batches, key information is matched in a non-shared system table according to an encryption column, the key information is set to tde info of a CU header, CU data are encrypted by using the key information, and a CU is constructed by using the encrypted data and written into a disk; and when the encrypted CU is read, decrypting the encrypted CU according to the key information stored in the CU header to obtain plaintext CU data. According to the method, the specified column of the column storage table in the openGauss database can be encrypted, so that the purpose of data protection is achieved, and in addition, the data are still plaintext data in the memory, so that the original data query processing process is not influenced at all.

The embodiment of the invention provides a network fault detection method based on a DPU, electronic equipment and a computer storage medium. The method comprises the steps that a first detector sends a first query instruction to the DPU, the first query instruction is used for instructing the DPU to send current network configuration and preset network configuration of at least one container to the first detector, and the first detector and the DPU are both arranged in nodes of a distributed data center; and the first detector determines whether the DPU has a network fault according to the received current network configuration and preset network configuration of the at least one container. According to the embodiment of the invention, the network condition of the DPU can be determined based on the network condition of the container, so that the network fault of the container can be accurately found.

The application discloses a kind of concealed communication detection methods based on federal learning, including the following steps: the sample data transmitted by several time slots antennas is stored in the form of matrix;Determine global model, center server initializes global model;Center server distributes initialized global model to user;Participating node downloads global model from center server, and uses local data to train and update local model with downloaded global model as local model;Participating node uploads local model to center server, and center server receives all local models and carries out model aggregation update, forms new global model;Center server distributes new global model to all training nodes, and carries out iterative training;User detects local data with the final updated global model, judges whether concealed communication data is contained in physical layer signal, and completes classification detection task.The application saves communication resources and protects data security.

The present invention discloses an interpretable medical big data dynamic security protection method. The method relates to the field of security technology digital processing technology, and includes the following steps: collecting and processing infectious disease patient data; performing classification and encryption processing; real-time monitoring of encrypted data; obtaining an encryption security assessment index for infectious disease patient identity information data, an infectious disease patient mobile path key management security assessment index, and an infectious disease patient electronic medical record data leakage risk assessment index; comprehensive analysis, evaluation, and adjustment. The present invention improves the dynamic security protection dynamic capability of interpretable medical big data by evaluating and analyzing the encrypted data of infectious disease patients, and adjusts the dynamic security of medical big data according to the comprehensive evaluation results, thereby solving the problem of insufficient dynamic security protection dynamic capability of interpretable medical big data in the prior art.

The invention discloses a data authority and communication link binding communication method. The communication device is in communication connection with the outside through at least two communication links; corresponding data authority is given to each communication link in advance, and data authority information corresponding to each communication link is stored in the communication device; when the communication device receives a data access request, the communication device firstly identifies a communication link through which the data access request passes, and then judges whether data requested by the data access request is within a data permission range corresponding to the identified communication link, if so, the data access request is sent to the communication device, and if not, the data access request is sent to the communication device. If so, the corresponding data requested by the communication link is returned via the communication link, otherwise, a notification of denying access is returned via the communication link. The invention also discloses a communication system for binding the data authority and the communication link. According to the method and the device, the data access authority is bound with the specific communication link, so that authority control in the data transmission process is realized, and the safety and the efficiency of data transmission are improved.

This invention discloses a method, system, and computer equipment for electronic data forensics in police vehicles. The method includes: confirming whether the vehicle's onboard data storage device has read permissions; if read permissions exist, the investigating officer performs bidirectional authentication between the vehicle-mounted forensics equipment and the identity authentication module in the public security platform, activating and authorizing the secure, legal, and operable nature of the vehicle-mounted forensics equipment; if read permissions do not exist, data is directly read from the vehicle-mounted data storage device; and different data integrity checks and extractions are performed based on the two communication protocol types of the vehicle-mounted data storage device. This invention, in police enforcement scenarios, overcomes permission barriers and equipment damage constraints, enabling rapid acquisition and analysis of onboard data.

The invention discloses a template guide-based visual audit rule configuration method, which comprises the following steps of: S1, starting a configuration guide, and providing an option for selecting a template through a user interface; s2, displaying a configurable auditing rule parameter list based on the selected template; s3, a user carries out parameter configuration through a visual interface, and a dragging operation and a real-time preview function are supported; s4, after application configuration is completed, the integrity and logic correctness of the set auditing rule are automatically verified; s5, performing storage processing on the configured auditing rule; s6, integrating a data interface technology to realize data interaction with an external system; and S7, implementing security and authority management measures, and enhancing the security of the system through user role definition and operation log records. The method has the advantages that the configuration process is simplified, the user friendliness is improved, the rule management efficiency is enhanced, the data integration accuracy and consistency are ensured, and the system safety is improved.

The application discloses a kind of multi-party secure computation methods for data asset audit into table, it is related to multi-party secure computation and data verification technical field, the application includes: step 1.log block and hash generation, step 2.confidential verification and cross window deduplication, step 3.abnormal identification and audit determination, the method carries out standardization format regulation and time sequence window division to e-commerce user behavior log, realizes the credible retention of each record by hash operation, guarantee original data complete traceable, complete data quality evaluation in combination with window effective matching rate, according to the evaluation result, execute dynamic window adjustment and extension recalculation, generate the user total number ciphertext after cross window deduplication, abnormal traffic window is screened by multidimensional behavior characteristics comparison, the whole process of whole set of procedures uses the mode of cryptogram operation, fully protect various data information, effectively reduce audit misjudgment probability, improve overall detection precision, adapt to the audit work of e-commerce field data asset compliance into table.

The utility model relates to the field of protection of real person verification equipment, in particular to a protection structure of intelligent construction site real person verification equipment, which comprises a verification equipment body. A protective shell is arranged on the outer surface of the verification equipment body, a movable door is movably connected to the rear end of the protective shell, a plurality of interfaces are formed in the rear end of the verification equipment body, the partition plate is arranged at the rear position in the verification equipment body, and a plurality of grooves are formed in the bottom of the partition plate; after the coded lock is unlocked, the movable cover is opened, the movable door is opened at the same time, then the first rotating block is rotated to drive the partition plate to move upwards, a needed connecting wire is inserted into the interface, then the partition plate moves downwards to cover the interface, and meanwhile the thin part of the connecting wire is inserted into the groove through the silica gel block. The problem that the information security and the operation stability of the whole construction site are threatened due to data leakage or unauthorized access of a system which is possibly caused by illegal connection due to the fact that an interface is easy to become a security hole is solved.

The present invention discloses a system component communication method and storage medium applied to port network security, wherein the communication method includes the following steps: establishment of a certificate authority; creation and submission of a certificate signing request; review of identity authentication and certificate signing request; generation of a certificate; distribution of a certificate; data transmission: judging whether the digital certificates carried by both components to be communicated are valid, if so, communication is performed, if not, communication is rejected. A component is selected as a certificate authority to manage the key and digital certificate of the component, and is responsible for issuing digital certificates and digital signatures for other components added to the system. Thereafter, communications within the system will require the use of digital certificates issued by the certificate authority, which ensures that only authenticated components can communicate with each other, thereby preventing unauthorized devices from joining the system, thereby preventing unauthorized access and data leakage.

The invention discloses a sensitive data governance method based on big data analysis, which comprises the following steps: firstly, establishing a dynamic data governance framework including dynamic role and authority management, data consanguinity recording, automatic data discovery and classification and data security management; a hierarchical management data center is established, and standardized management of data is realized; and a self-adaptive data governance strategy: constructing a data governance strategy based on big data analysis for the dynamic data governance framework. According to the invention, intelligent role and authority management, comprehensive data consanguinity recording, automatic data discovery and classification and enhanced data security measures are realized, and a governance strategy can be continuously optimized according to a real-time data analysis result, so that the efficiency, accuracy and security of data governance are improved.

The invention belongs to the field of intelligent health detection equipment and communication security, and discloses a health data communication transmission method of an intelligent health detection cup, which specifically comprises the following steps: S1, the cup is in Bluetooth connection with a mobile phone for data transmission; s2, carrying out key negotiation and management on the water cup and the mobile phone app; s3, the user collects health data through the intelligent water cup; s4, the microcontroller carries out data encryption on the health data; s5, packaging the health data, and sending the health data to the mobile phone app; s6, the mobile phone app receives the data and carries out message decryption and verification; s7, the mobile phone app displays the health report according to the data; according to the intelligent health monitoring water cup, the privacy leakage risk existing in the data transmission process of the intelligent health monitoring water cup is avoided, the safety and integrity of the electrocardio data, the water drinking amount and the water temperature data are ensured, and the privacy safety of a user is protected.

The invention provides a cryptosporidium identifier embedding method and device from slice scanning to slice generation of an instrument and a readable storage medium of the cryptosporidium identifier embedding method and device, and tracking, verification and protection of data are achieved by embedding a unique encryption identifier in slice data. The method specifically comprises the steps of scanning by an instrument to generate original image data, segmenting the data into a plurality of slices and compressing the slices, judging whether cryptospores exist or not, generating cryptospore identifiers by using an AES encryption algorithm, and embedding the identifiers into metadata of slice files. The invention further provides a cryptosporidium judgment method, and judgment is carried out by calculating the perimeter, the area, the circularity, the aspect ratio and other characteristic parameters of the contour. Meanwhile, the invention further comprises a data integrity verification method. The method has the beneficial effects of data integrity and authenticity guarantee, efficient data tracing and management, automation and efficiency improvement, security enhancement and privacy compliance, support of scientific research and clinical cooperation and the like.

The application provides a query statement processing method, an electronic device and a computer readable storage medium. The method comprises the following steps: auditing a received query statement based on a preset rule in a trusted container to obtain auditing information of the query statement; and in response to the auditing information meeting a preset condition, sending query related data to a privacy computing platform, wherein the query related data comprises the query statement and remote proof material of the trusted container. By using the embodiment of the application, the security of executing the query statement can be improved, and data leakage can be avoided.

The invention relates to the technical field of image processing, in particular to a real-time aerial image processing and intelligent mapping system based on deep learning, which comprises an image acquisition module, a preprocessing module, a deep learning analysis module, an image splicing module, an intelligent mapping module and a data storage and management module. Multi-type sensor image data are collected in real time through an unmanned aerial vehicle, preprocessing and deep learning analysis are carried out, and target recognition, scene classification and object segmentation of images are achieved. And then, the system splices the plurality of images into a complete map through a feature point matching algorithm and a deep learning optimization algorithm, and generates a high-resolution two-dimensional map and a high-resolution three-dimensional terrain model according to different requirements. Meanwhile, the system supports real-time storage, management and encrypted transmission of data, and ensures the security and integrity of processed image data. According to the invention, the precision and efficiency of aerial image processing are significantly improved, and the method is suitable for complex scenes requiring real-time response, such as disaster monitoring and environmental protection.

The invention discloses an industrial data encryption method, a storage medium and execution equipment, and aims to comprehensively protect the security and integrity of industrial data in storage and transmission processes. The method comprises the steps of firstly obtaining industrial data and generating a data set, and then generating an encryption value and an initial vector to write into a storage system; the statistical information of the storage system is serialized and compressed, redundant information is removed, and the transmission and storage efficiency is improved. And the byte array is encrypted by adopting an advanced encryption algorithm, so that the security of the data is ensured. When decryption is needed, the same encryption algorithm and the same encryption value are used for decryption, and the original data format is recovered through deserialization operation. Meanwhile, the integrity and authenticity of the decrypted data are verified through additional check codes or hash values. The method not only enhances the security and integrity of the data, but also improves the processing efficiency, and supports various industrial application scenes and requirements.

This invention relates to the field of multi-tenant cloud service technology and discloses a multi-tenant resource dynamic access method, cloud hosting system, and apparatus based on the MCP protocol, including: a client system, an intelligent agent system, an MCP routing service system, and an MCP service group system; the client system is used to initiate service requests to the intelligent agent system, receive the endpoint address and short token returned by the MCP routing service system, and establish and maintain an SSE long connection with the MCP service; the intelligent agent system is used to determine whether the service request needs to call an MCP tool, initiate an MCP tool call request through the SSE long connection, and process the returned result; the MCP routing service system serves as a central scheduling component. This invention uses tenant group dynamic routing, directing each tenant's MCP tool call to a dedicated endpoint, avoiding the mixing of tool interfaces from different tenants. GPT-4o testing verified that the MCP tool identification accuracy is improved from 60% in the prior art to over 90%, an improvement of 30%.

This application provides a base station parameter calibration method and electronic device. The method includes: acquiring base station parameters of a base station; sending a request to a real-time dynamic carrier phase differential (RTK) proxy server to perform differential measurement of the base station parameters, and acquiring differential correction values ​​of the base station parameters from the RTK proxy server; and sending the differential correction values ​​to the base station to perform base station parameter calibration. Therefore, this application can solve the problem in related technologies where collecting, calculating, and processing base station parameters at the base station side increases the security risks of data leakage and tampering, thereby improving the security and accuracy of base station parameter calibration.

The invention discloses a detection and remote control system for AR glasses, and the system comprises an identity recognition module, a remote communication module, a behavior analysis module, an environment monitoring module, a visual enhancement module, an emotion recognition module, a threat recognition and defense module, a flight control module, and an energy management module. Determining whether the personnel in the field are internal personnel authorized by the system or not; the remote communication module is used for completing real-time communication and control between personnel and the system; according to the system, only authorized personnel can access the system through the identity recognition module and the threat recognition and defense module, potential threats can be recognized and dealt with in time, the behavior analysis module can monitor and early warn abnormal behaviors, safety awareness and emergency response capability are improved, encrypted data transmission guarantees information safety, data leakage and hostile attacks are prevented, and the system is safe and reliable. The energy management module prolongs the service time of the equipment through intelligent management and environmental energy collection, and improves the operation efficiency and reliability.

Embodiments of the present application provide an audio playing control method and device, equipment, system and storage medium, wherein the audio playing control method based on a sound box cloud server comprises: searching target audio metadata in a cloud sound box private music library in response to an on-demand instruction of a target audio, the cloud sound box private music library storing local audio metadata, the local audio metadata comprising an audio name, an audio ID and a local playing address of the audio; and performing local playing according to the searched target audio metadata, the local playing comprising sending an audio playing instruction to a sound box, the audio playing instruction comprising the local playing address of the target audio. The technical solution provided by the present application does not need to upload local audio of a local device to a cloud database, avoids occupying a large amount of cloud space, and avoids the problem of data leakage.

The invention discloses a novel size detector control method, which comprises a remote data management server module, a detection terminal gateway module, a size detection execution module and a user operation module, and is characterized in that a safety communication service platform is arranged between the remote data management server module and the detection terminal gateway module; the security communication service platform comprises an application layer, a platform layer, a transmission layer and a communication layer, the application layer provides a detection security plug-in SSDK and a detection task management client, the platform layer is provided with capacity interfaces of detection flow management, data synchronization, task scheduling and the like, the transmission layer is based on the P2P technology, the encryption transmission and routing optimization capacity of detection data is achieved, and the communication layer is used for communication with the detection security plug-in SSDK and the detection task management client. And the communication layer comprises a three-network direct connection data channel and an industrial-grade data private line communication service. According to the invention, through fusion design of a secure communication architecture, intelligent voice interaction, workpiece-face dual verification and a high-precision feature extraction technology, security, intelligence, precision and standardization of a detection process are realized.

The present invention is applicable to the field of game security, and discloses a method for isolated storage and encryption of game data, including: classifying the game data according to the sensitivity of the game data; encrypting the game data with high sensitivity and selectively encrypting the remaining game data; storing the encrypted game data in partitions; controlling access to the encrypted game data through a rights management module; when a user accesses the encrypted game data, decrypting it using a corresponding decryption algorithm; wherein, when encrypting, the game data is encrypted according to the correlation between the game data. Using the correlation between data to generate an encryption key can make the encryption process more complicated and difficult to crack. Attackers not only need to crack a single encryption key, but also need to understand and simulate the association logic between data, which greatly increases the difficulty and cost of the attack.