15 results about "Data Access in Real Time" patented technology

The invention relates to the technical field of storage, in particular to an SSD wear leveling method and device based on dynamic data migration and a medium. The method comprises the following steps: monitoring access frequency, recording read-write times of a logic block in real time, and identifying hotspot data; tracking a wear state, counting the erasure times of the physical flash memory block, and evaluating the wear degree of the physical flash memory block; data migration decision: determining whether to migrate data based on the access frequency and the wear frequency; preferentially migrating data with high access frequency and high wear degree according to access frequency and wear program sorting; and data migration execution: migrating the hotspot data from the high-wear area to the low-wear area, and updating the mapping relation. According to the method, the data storage position can be intelligently adjusted according to the real-time data access characteristics and the abrasion state, and therefore the service life of the SSD is more efficiently prolonged.

Systems, methods, and non-transitory computer readable media are configured to perform operations comprising obtaining formatted account data maintained by an entity and associated with an account of a user; accessing in real time account data associated with the account from an institution after the entity has facilitated authentication of the user with the institution; and based on a machine learning model, generating synchronized data that reflects selection of a data field of a data type from the formatted account data maintained by the entity or a data field of the data type from the account data from the institution.

The invention provides a medical management system and a data access method thereof, and relates to the technical field of medical treatment. The method comprises the following steps: generating a service access request in an access layer, and sending the service access request to a service layer; calling a target service module corresponding to the target service on the service layer according to the service access request, and forwarding the service access request to a service application layer; constructing a data access request on the business application layer, and sending the data access request to the data layer; obtaining target service data corresponding to the target service on the data layer based on the data access request, performing encryption processing on the target service data, and returning the encrypted target service data to the access layer through a double / unidirectional isolation exchange technology; and the encrypted target service data is decrypted in the access layer, and the decrypted target service data is displayed on the access platform, so that the problem that safe, controllable and real-time data access is difficult to realize among different access environments in the prior art is solved.

The application discloses an adaptive data security strategy generation method based on artificial intelligence, relates to the technical field of data security, and comprises the following steps: firstly, obtaining multi-dimensional user behavior samples containing access behavior environment and data operation behavior and behavior risk labels; then, constructing an artificial intelligence model composed of an environment feature extraction submodel, an operation feature extraction submodel and a feature recognition submodel; then, proposing a GCGWO algorithm, and efficiently optimizing the hyperparameters of the artificial intelligence model according to the multi-dimensional user behavior samples and the behavior risk labels to obtain a high-precision artificial intelligence model; finally, in real-time data access, the artificial intelligence model is used to identify user behavior risks, and adaptive data security strategies are dynamically generated for access control, so that the accuracy of risk identification and the adaptive ability of strategies are significantly improved, and the intelligence and dynamic of data security protection are realized.

The invention relates to an RMU configurable object test method and system for log data decoupling, and the method comprises the steps: predefining a classification system of data objects, and generating a global mapping dictionary; defining a unique identifier and an execution step identifier of the test case, and generating a test case data object list; reading and analyzing a data source for describing the system architecture, and constructing a system-level data configuration dictionary; performing path validity, identifier matching degree and object legality verification on the test case; when the test case is executed, querying the global mapping dictionary according to the declaration in the test case data object list to obtain a data positioning path, and constructing a real-time data access channel in combination with detailed semantic information in the system-level data configuration dictionary; and the test result analysis script requests real-time data and executes test logic and assertion analysis to generate a test result. Compared with the prior art, the method has higher adaptability and maintainability, and high efficiency and stability of test result analysis can still be kept during system data evolution.

The application belongs to the field of electric power automation, and discloses a kind of intelligent substation station control layer data high-speed real-time synchronization method and system;The method comprises: establishing shared memory database in monitoring host;Shared memory database interface secondary encapsulation, form internal interface and external interface;In the software platform message bus of monitoring host and integrated application host, increase the associated interface supporting the function call of shared memory server, form the data writing interface;The operation interface of software platform historical database is reformed, and is encapsulated as historical database callback storage interface.The application utilizes software platform message bus interface, secondary encapsulation forms 4 shared memory database external access interfaces, and upper layer application function realizes real-time data access to shared memory database through 4 external interfaces;Data acquisition process realizes automatic writing of real-time data into historical database through historical data storage callback interface and historical data storage function callback.

The invention discloses a network security data privacy protection management system and method, and relates to the technical field of network security. Comprising a data asset and consanguinity analysis module which can construct a data consanguinity map; the multi-dimensional situation information acquisition module is used for acquiring situation information of data access in real time; the dynamic privacy risk assessment engine calculates a quantized privacy exposure risk score in real time by analyzing a data aggregation risk and a user historical behavior baseline deviation degree in combination with multi-dimensional situation information; the self-adaptive strategy execution module is used for matching and executing hierarchical protection strategies such as dynamic desensitization and access blocking according to the risk scores; and the closed-loop feedback and model optimization module is used for continuously optimizing the risk assessment model by using historical data and a machine learning algorithm. According to the method, the limitation of a traditional static strategy is overcome, dynamic, intelligent and self-adaptive data privacy protection based on a real-time situation is realized, potential risks can be accurately identified, and balance between security and service efficiency is achieved.

The invention discloses a self-adaptive data security policy generation method based on artificial intelligence, and relates to the technical field of data security, and the method comprises the steps: firstly obtaining a multi-dimensional user behavior sample containing an access behavior environment and a data operation behavior, and a behavior risk tag; constructing an artificial intelligence model composed of an environment feature extraction sub-model, an operation feature extraction sub-model and a feature recognition sub-model; then providing a GCGWO algorithm, and performing efficient optimization on hyper-parameters of the artificial intelligence model according to the multi-dimensional user behavior sample and the behavior risk tag to obtain a high-precision artificial intelligence model; and finally, in real-time data access, the artificial intelligence model is utilized to identify the user behavior risk, and an adaptive data security policy is dynamically generated to perform access control, so that the accuracy of risk identification and the adaptive capability of the policy are remarkably improved, and intelligentization and dynamics of data security protection are realized.

The invention discloses a data access control strategy generation method and device based on user behavior analysis, and relates to the technical field of data security. The method comprises the following steps: constructing a user behavior twin model, a user behavior analysis model and a data access control model; according to the dynamic security policy preference, configuring policy parameters of the data access control model; collecting real-time user behavior data and a real-time data access request, and analyzing the real-time user behavior data and the real-time data access request by using the user behavior analysis model to obtain a real-time user behavior analysis result; according to the real-time data access request and the real-time user behavior analysis result, the configured data access control model is used for strategy generation, and a real-time data access control strategy is obtained; and performing data access control on the real-time data access request according to the real-time data access control strategy, and performing continuous evolution. The problems that in the prior art, an access control strategy is statically solidified, adaptability is poor, and safety and efficiency are difficult to balance are solved.

The application provides a medical management system and a data access method thereof, and relates to the technical field of medical treatment. The method comprises the following steps: generating a business access request in an access layer, and sending the business access request to a service layer; calling a target business module corresponding to a target business according to the business access request in the service layer, and forwarding the business access request to a business application layer; constructing a data access request in the business application layer, and sending the data access request to a data layer; obtaining target business data corresponding to the target business based on the data access request in the data layer, and performing encryption processing on the target business data, and returning the encrypted target business data to the access layer through a double one-way isolation exchange technology; performing decryption processing on the encrypted target business data in the access layer, and displaying the decrypted target business data on an access platform, so that the problem that safe, controllable and real-time data access cannot be realized between different access environments in the related art is solved.

The invention discloses a quantum encryption transmission and knowledge graph fused data security system, which relates to the technical field of data processing, and is characterized in that enterprise multi-source data is acquired, an enterprise data knowledge graph is constructed, then a real-time data access request is responded, path reasoning and risk assessment are performed in the knowledge graph, and a dynamic data response strategy is generated; distributing a quantum symmetric key to a data receiving end through a quantum channel, carrying out differential encryption transmission on target data according to a response strategy and the quantum key, and carrying out differential encryption transmission on the target data by combining refined authority reasoning of a knowledge graph with absolute security of quantum encryption; and an intelligent risk assessment model based on a neighborhood order response optimization algorithm is introduced, so that accurate control of data access permission, real-time sensing of security risks and quantum-level security guarantee of data transmission are realized, and the security protection capability of enterprise core data is remarkably improved.

Systems, methods, and non-transitory computer readable media are configured to perform operations comprising acquiring a plurality of reports provided by a plurality of agencies; providing the plurality of reports to a machine learning model trained based on training data; and based on the machine learning model, generating a listing of accounts referenced in the plurality of reports, the listing comprising an account including a grouping of data fields associated with a same data type and originating from different reports.

The application discloses a data access control strategy generation method and device based on user behavior analysis, and relates to the technical field of data security. The method comprises the following steps: constructing a user behavior twin model, a user behavior analysis model and a data access control model; configuring strategy parameters of the data access control model according to dynamic security strategy preferences; collecting real-time user behavior data and real-time data access requests, and analyzing the real-time user behavior data and the real-time data access requests by using the user behavior analysis model to obtain real-time user behavior analysis results; generating a strategy by using the configured data access control model according to the real-time data access requests and the real-time user behavior analysis results to obtain a real-time data access control strategy; and controlling data access of the real-time data access requests according to the real-time data access control strategy and continuously evolving the real-time data access control strategy. The method solves the problems of static solidification, poor adaptability and difficulty in balancing security and efficiency of an access control strategy in the prior art.

The application discloses a method, system, device and medium for shielding differences of real-time database measuring point codes, and establishes a mapping relationship between standard codes and power station side measuring point codes through an encoding mapping database, so that a power generation group business system can directly access real-time data of the power station through the standard codes, and the power stations can also exchange data horizontally through the standard codes. Through the application, unification of various real-time database data codes of the power stations can be realized in a low-cost and low-risk manner, a standard real-time data access specification is established, and a standard horizontal data exchange channel between the power stations is established.

The application discloses a kind of quantum encryption transmission and knowledge graph fusion data security system, it is related to data processing technical field, by collecting enterprise multi-source data and constructing enterprise data knowledge graph, then responding real-time data access request, path reasoning and risk assessment are carried out in knowledge graph, generate dynamic data response strategy, then through quantum channel distributes quantum symmetric key for data receiving end, and according to response strategy and quantum key, target data is differentially encrypted transmission, by combining the fine-grained permission reasoning of knowledge graph with the absolute security of quantum encryption, and introducing the intelligent risk assessment model based on neighborhood order response optimization algorithm, the accurate control of data access permission, real-time sensing of security risk and quantum-level security guarantee of data transmission are realized, which significantly improves the security protection capability of enterprise core data.