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

A system for monitoring and optimizing the performance of an e-commerce platform, which includes the following: a) a data collection and integration module configured to retrieve real-time data from e-commerce platforms, marketing channels, inventory systems and user interactions using APIs, tracking scripts and server-to-server communication; b) a data preprocessing and filtering module for cleaning and structuring the collected data by removing inconsistencies, normalizing formats and detecting outliers; c) a machine learning and predictive analytics machine that uses deep learning, regression models and clustering algorithms to analyze historical and real-time data to predict sales trends, customer behavior and demand fluctuations; d) a performance monitoring dashboard configured to visualize key performance indicators, sales trends and marketing effectiveness, and to provide custom reports and real-time alerts; e) an automated module for optimizing marketing campaigns, which dynamically adjusts advertising strategies, budget allocations, target audience approach and creative elements based on real-time data insights; f) an automated decision and control system configured to execute AI-driven optimization strategies, including bid adjustments, price changes and inventory reallocations without manual intervention; (g) a fraud detection and compliance monitoring module that uses anomaly detection algorithms to identify fraudulent transactions, fake reviews and advertising fraud while ensuring compliance with legal regulations; the system continuously monitoring, analyzing and optimizing the performance of the e-commerce platform through automated data-driven decision-making.

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 present invention discloses a real-time data access and privacy computing method and system based on homomorphic encryption, which relates to the field of data security. The method includes: receiving data to be encrypted and performing homomorphic encryption on it; synchronously generating an associated privacy index; receiving a computing request from a user and performing encrypted computing based on the privacy index; performing partial homomorphic decryption on the result of the encrypted computing to obtain an intermediate result; sending the result of the encrypted computing to the user through an end-to-end encryption transmission protocol, and verifying the accuracy of the result of the encrypted computing through the intermediate result. Through full homomorphic encryption, efficient computing of encrypted data is achieved, avoiding redundant traversal and insufficient real-time performance caused by the lack of an index. It avoids the core problems such as low efficiency of encrypted computing, unreasonable permission control, and insecure transmission in the prior art, realizes the balance between privacy protection and computing efficiency, and significantly improves data utilization and security.

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 invention relates to the technical field of data protection, in particular to a data integrated management method based on a data-in-data platform, which comprises the following steps of: verifying the identity of a user, and determining a data access permission according to the role attribute of the user and a preset access control list in a database to obtain user access permission configuration; and monitoring a real-time data access behavior of the user. According to the method, the right control lists are screened one by one according to the user role attributes, the user right range is dynamically adjusted, and the right verification rules are matched one by one according to the user access request in real time and are verified, so that accurate management and control of data access are enhanced, and the right error risk caused by traditional static right configuration is avoided; furthermore, a behavior mode deviation value is dynamically calculated according to the difference between the real-time data access behavior characteristics of the user and the normal behavior mode, the user permission is adjusted in real time according to the behavior mode deviation value, and fine management of the access permission is achieved.

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.

An intelligent atmospheric water generator consisting of • a refrigerant-based condensation system for water recovery; • an IoT-enabled sensor network for real-time monitoring and control; • an AI-controlled user recognition system for controlled water dispensing; • a multi-stage purification and mineralization system to improve water quality; • a digital scoreboard and a mobile app for real-time data access and control; • a solar-powered operating mechanism for energy efficiency and sustainability.

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.

This invention discloses a method and apparatus for real-time assessment of whether sensitive data leakage exists on cross-border data links. The method includes: acquiring sensitive sample data from a data provider; constructing a target policy database based on the sensitive sample data; responding to a cross-border data access message request from the data provider; determining the actual security policy executed by the cross-border data access message request; and recording the policy execution content and corresponding execution results of the actual security policy as execution log information in the gateway log of the data gateway; and determining the cross-border data assessment result based on the execution log information and the target security policy database. This invention, through the above technical solution, can prevent the leakage of sensitive data, improve the security of data transmission, ensure data security, and achieve real-time data access monitoring, automatic alarms, and risk control.

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.

An adaptive multi-level hybrid index data storage system includes a load monitoring module, an index mapping module, an adaptive scheduling module, a persistence component, an NVM-aware B+ tree index module and an NVM-optimized skip table index module; the load monitoring module is used to collect the load characteristics of data access in real time; the index mapping module is used to maintain the mapping relationship table of data in DRAM and NVM, and supports the dynamic migration of index nodes between the two storage layers; the adaptive scheduling module is used to adaptively adjust the distribution of index data between DRAM and NVM according to the load characteristics collected by the load monitoring module, combined with Markov decision process and deep reinforcement learning; the persistence component is used to regularly persist the index updates in DRAM to NVM; the NVM-aware B+ tree index module optimizes the B+ tree index for NVM; the NVM-optimized skip table index module constructs a persistent skip table index for NVM.

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.