87 results about "Security privacy" patented technology

A scalable platform for orchestrating networks of specialized AI multi-agent networks that enables secure collaboration through token-based protocols and real-time result streaming with advanced dynamic chain-of-thought pruning. The central orchestration engine manages domain-specific agents, implementing sophisticated multi-branch reasoning with contribution-estimation layers that evaluate each agent's utility using Shapley value-inspired metrics. The system employs information-theoretic and gradient-based surprise metric to guide memory updates and dynamic reasoning expansion, preventing local minima stagnation while preserving valuable insights through adaptive forgetting mechanisms. The platform unifies Monte Carlo tree search with contribution-aware estimation to detect high-synergy expert combinations while maintaining privacy through partial data approaches. It scales across distributed computing environments, enabling complex collaborative tasks like materials discovery, product engineering and manufacturing process design, biomedical research, and drug development. The system supports multi-party economic rewards through systematic contribution effort, cost and importance tracking, while standardized interfaces manage security, privacy, and policy constraints across heterogeneous agents.

A platform for coordinating networks of specialized AI agents that enables secure collaboration through token-based communication and real-time result streaming. The system features a central orchestration engine managing interactions between domain-specific expert agents, with memory management and optional encryption for secure data handling. The platform uses efficient communication protocols for knowledge compression and faster reasoning, while a standardized agent interface system handles security, privacy, and policy requirements. It scales across distributed computing environments to enable complex collaborative tasks like personalized content creation, materials discovery, and drug development while optimizing resource usage and maintaining data privacy.

The invention discloses a big data privacy protection modeling method and system based on federated learning and a block chain, and relates to the technical field of privacy protection and joint modeling. According to the method, homomorphic encryption, differential privacy, federated learning, secure multi-party computing and block chain technologies are fused, big data privacy protection and joint modeling are realized, encryption and dimensionality reduction are performed on original data through homomorphic encryption and differential privacy, an encrypted training sample of secure privacy is generated, a local model is trained on an encrypted data set through federated learning, and a big data privacy protection result is obtained. The method comprises the following steps: calculating aggregation parameters by using security multiple parties, constructing a verification network in combination with a block chain, ensuring credibility and integrity of model training, and finally, adding noise optimization performance for a global model by using differential privacy, testing generalization ability through cross validation, and determining a deployable privacy protection joint learning model, thereby breaking traditional data islands, promoting cross-mechanism data cooperation, and improving the privacy protection performance. Big data values are released, and data protection regulations and privacy requirements are met.

The invention provides a data interaction security privacy protection method and system based on a block chain. The method comprises the following steps: deploying block chain consensus nodes in a cloud to construct a main chain, deploying computing nodes in double-layer trusted execution environment hardware, and constructing sub-chains according to service types. A main chain-subchain architecture is established through a cross-chain communication protocol, and a cross-chain smart contract is deployed. And receiving a user data interaction request, verifying the identity, and granting access or uploading authority. And generating a data fingerprint and an operation log, and organizing the data fingerprint and the operation log into a Merkle tree structure. A hierarchical storage architecture based on a DAG is adopted, and data and log Merkle trees are stored in a main chain-subchain architecture. In the whole process, data security, privacy protection and traceability are ensured, and an efficient and reliable block chain data management system is realized.

The invention discloses an identity authentication and control method and device based on a block chain. According to the method, biological features are collected through edge nodes to generate feature vectors, a combined hash value is generated in combination with a device scene label and a service role label, the combined hash value is uploaded to a cloud server after encrypted signature, and the combined hash value is written into a block chain through an intelligent contract; and during user authentication, the edge node calculates a real-time risk level, dynamically selects an authentication mode, calls an intelligent contract for verification after verification of the cloud server, and adjusts the risk level according to a verification result to implement management and control. According to the method, the edge cloud collaborative architecture is adopted, and the dynamic multi-factor authentication mechanism and the block chain consensus technology are combined, so that high-security privacy protection authentication is realized, the security requirements of different service scenes can be met, data leakage and replay attacks are effectively prevented, and the authentication efficiency and reliability are improved.

The invention discloses a traffic data security encryption and circulation system and method based on a block chain, belongs to the technical field of traffic control, and aims to solve the problems of security, privacy and trust in traffic data sharing. The system comprises an edge computing node which is deployed near a data source and is used for performing encryption or privacy enhancement processing on original traffic data; a block chain network with a smart contract is deployed, node identities are managed, verification information is recorded, an access strategy is stored, and data circulation is controlled; and the data processing unit is used for aggregating the processed data to generate a circulatory data product. The method comprises the steps of edge security processing, block chain management verification, product generation by the data processing unit and management and control circulation of the block chain according to a strategy. Through edge security processing and a block chain trust mechanism, data security privacy is guaranteed, safe, transparent and credible circulation and utilization of traffic data are realized, and reliable data support is provided for intelligent upgrading and digital transformation of the traffic industry.

The invention discloses an AI communication information identification system, which relates to the technical field of artificial intelligence and communication, and adopts the technical scheme that the AI communication information identification system comprises an AI communication management platform module, and the AI communication management platform module comprises a data management module, an algorithm model library module, a user interaction module and a safety control module, the security control module comprises a security privacy protection module and a real-time monitoring alarm module, the connection end of the security control module is provided with a security architecture module, an AI auxiliary security module and an emergency response module, and the security privacy protection module comprises a data encryption module, a privacy protection module and an access control module. The method has the beneficial effects of realizing automatic, efficient and accurate identification of communication information, remarkably improving the identification efficiency and accuracy, having self-learning and optimization capabilities, being capable of continuously improving the identification performance along with the increase of the data volume and the change of the environment, effectively identifying and intercepting malicious information, protecting the security of a communication network and the privacy of a user, and improving the user experience. And the safety performance is improved.

The invention belongs to the technical field of electronic document processing, and particularly relates to an electronic document standardization modeling processing system which comprises a document input preprocessing module, a format standardization conversion module, an analysis reconstruction module, a metadata extraction management module, a quality inspection correction module, an experience optimization module and a security privacy protection module. According to the application, the acceptability of documents of different sources is improved through the document input preprocessing module, it is ensured that various types of electronic documents can be processed, the problem of typesetting disorder caused by format differences is reduced through the format standardization conversion module, and the document appearance consistency is kept through accurate style mapping; the analysis precision is improved through the analysis and reconstruction module, so that the original layout and style are better reserved; through the metadata extraction management module, the document management and retrieval capability is enhanced, and meanwhile, an adjustment space is provided to adapt to requirements under special conditions.

The embodiment of the invention provides a communication method and a related device, and the method comprises the steps that terminal equipment transmits a first message, the first message requests to create a first session, the first message comprises first identification information, and the first identification information indicates that the first session is used for collecting first information; the first information is used for performing data analysis, model reasoning or model training processing on a network element (such as a network data analysis function) of a core network; and the terminal equipment sends first information to the first network element through the first session, wherein the first information comprises measurement information of the terminal equipment. The terminal equipment can send the first information to the first network element without acquiring the address information of the first network element, so that the first network element (such as a data analysis network element or a model training network element) can perform data analysis processing, model training or model reasoning and the like according to the first information. The security privacy of the core network equipment is effectively guaranteed, the internal network element topology of the core network is conveniently hidden, and the network security is improved.

The present application discloses a research HIS system for clinical trials, which relates to the technical field of clinical trials, and includes a research participant management end, including a participant registration module, a pre-screening module, a research participant tracking module, a data collection module, an access rights management module, a research participant communication module, and a participant security and privacy protection module; a planning and scheduling management end, including a test plan module, a research center management module, a personnel task allocation module, a test schedule management module, a task tracking progress monitoring module, a resource scheduling management module, and a visit arrangement reminder module; a collaborative communication end, including a project team collaboration module, an email message notification module, a real-time chat discussion module, a file sharing collaborative editing module, a meeting schedule module, a discussion board knowledge base module, and a task allocation tracking module. The present application has the effect of facilitating the reasonable management and monitoring of clinical data in a hospital information management system.

The invention relates to an intelligent factory model data set security privacy protection method and device, equipment and a medium, and the method comprises the steps: employing a preset information entropy formula to calculate and determine an information entropy score corresponding to each Hash bit in a first Hash code, sorting the information entropy scores corresponding to all Hash bits in the first Hash code from large to small, performing dimension reduction on the Hash bits corresponding to the column index set to determine a column index set corresponding to the Hash bits with the preset Hash code length, and performing dimension reduction on the Hash bits corresponding to the column index set to determine a second Hash code corresponding to the model data set; and encrypting the model data set by adopting a preset Paillier homomorphic encryption algorithm to determine a homomorphic ciphertext corresponding to the model data set, and uploading the second hash code corresponding to the model data set and the homomorphic ciphertext corresponding to the model data set to a central aggregation server in the intelligent factory. According to the invention, the accuracy and efficiency of production scheduling are improved, and meanwhile, privacy and data security are ensured.

The invention discloses a thinking chain-based graph database Cypher query statement generation method, and relates to the technical field of graph database query. Comprising the steps of data preprocessing, model training and query generation, model evaluation, security privacy guarantee, system integration and dynamic adaptability adjustment, and a natural language query requirement of a user is converted into a Cypher query statement executable by a graph database. By defining a meta function, a query problem is decomposed into a combination of basic operations, a human thinking chain mode is simulated, and the logic habit of human to process the problem is met. By means of the decomposition mode, the problem processing process is clearer, more organized and easy to understand and master. The construction of the query logic by developers and the subsequent maintenance and optimization of the system become more efficient and convenient due to the visual problem decomposition mode.

The invention belongs to the technical field of block chains and information security, and particularly relates to a cross-domain access method for enhancing security privacy protection based on a block chain. The architecture comprises a global coordination chain and a plurality of domain alliance chains; the global coordination chain deploys a strategy Merkel tree root, a cross-domain authentication log and an SGX security area verification record to form a global credible verification anchor point; the domain alliance chain adopts a distributed autonomous mode, equipment registration information is maintained in each independent domain, a policy tree and an anonymous certificate library are dynamically accessed, and data sovereignty isolation is realized. The invention aims to solve the problems of identity authentication centralization, easy leakage of privacy data, low cross-domain trust transmission efficiency and the like in the traditional cross-domain access technology.

This disclosure provides techniques to utilize decentralized identifiers (DIDs) and verifiable credentials for secure, privacy-preserving transactions. In one aspect, a method is provided that includes: receiving user information; determining a DID based on the information; providing the DID to a user device; verifying the user's identity by validating the DID and associated verifiable credentials; and performing a transaction based on the verified DID. Other aspects are provided, such as generating a public-private key pair for the user, associating the DID with the public key, and / or creating a DID document stored on a distributed ledger accessible to authorized entities. Further aspects include processing transactions through smart contracts on a blockchain network, which may involve converting central bank digital currency to fiat currency while maintaining user privacy, applying transaction limits based on verified identity attributes, and providing zero-knowledge proofs to auditors to verify compliance without accessing underlying transaction details.

The invention relates to the technical field of image processing, in particular to an image data desensitization method, device and equipment, and the method comprises the steps: extracting a to-be-processed image or a RAW domain image of a to-be-processed video stream; sequentially performing wide dynamic range processing, first Bayer noise processing and tone mapping processing on the RAW domain image to obtain a first processed image; obtaining a dynamic ROI detection model and a privacy grading model; based on the first processing image and the dynamic ROI detection model, a second processing image is output, and the second processing image is that a privacy area is marked on the first processing image; based on the second processing image and a privacy grading model, obtaining a privacy level comprehensive score of each privacy area; and determining a corresponding desensitization means based on the privacy level comprehensive score of each privacy area so as to carry out pixel level privacy processing on the second processing image, and realizing end-to-end security privacy protection by processing the RAW domain image of the video or the image.

The invention discloses an Internet of Things industry intelligent customer service supervision and control system based on artificial intelligence, and belongs to the technical field of customer service supervision. Comprising an omni-channel intelligent access and intention understanding module, an AI intelligent center and complex decision module, an intelligent supervision and ethical regulation and control module, a man-machine cooperation and humanistic care module, a data-driven optimization and edge intelligent module and a security privacy and controllable treatment module, and the omni-channel intelligent access and intention understanding module is used for integrating multiple channels. Unified request distribution is achieved, data input by a user are analyzed through voice recognition, NLU natural language understanding and image recognition technologies, composite intentions are accurately captured, interaction strategies are dynamically adjusted in combination with device state data, user historical behaviors and real-time positions, and pacified talking skills or manual intervention are triggered through voiceprint / text emotion analysis. On the basis of realizing customer service supervision and regulation, all-channel fusion and intention accurate analysis can be realized, and ethical safety integrated design can be realized.

The invention provides a recording transmission system applied to an intelligent ring, belongs to the technical field of intelligent rings, and solves the technical problems of single recording function, unstable data transmission, low safety performance and the like of an existing intelligent ring. Comprising a data collection module, a data processing module, a recording content classification module, a self-learning module, a classification storage management module, a remote transmission module, a user interaction module, a cloud server, a power management module, a security privacy module, a remote positioning module, a personalized customization module, an intelligent device control module, an NFC module, a health monitoring module and a static elimination module. An intelligent mobile phone remote control module, a voice translation module and a receiving terminal module. The system has the functions of data collection and processing, content classification, classified learning, classified storage, remote transmission, user interaction, power management, privacy protection, remote positioning, personalized customization, intelligent equipment control, health monitoring, static elimination, intelligent mobile phone remote control and voice translation.

The invention provides a reliable user privacy protection method, and relates to the field of program data privacy protection. The reliable user privacy protection method is applied to an APP application program, and the user privacy protection method performs comprehensive protection on user privacy data in the APP application program through a technical level, a management level and a law and regulation level. According to the user privacy protection method, privacy protection on the technical level is carried out through a login recognition function and a data storage module in an APP application program, and management training is carried out through workers of a company where the APP application program is located, so that user privacy data protection on the management level and the law level is achieved. According to the method and the device, the security of the user using the APP is greatly improved, the security privacy of the user is enhanced, the personal rights and interests of the user are protected, and meanwhile, the use experience of the user can be greatly improved.

The invention belongs to the technical field of natural language processing, and discloses a large language model interface calling method based on privacy protection, which specifically comprises the following steps of: 1, privacy entity content identification: identifying privacy entity content in a text through regular expression matching, named entity identification and self-defined dictionary matching technologies, the information is sensitive information in the text. According to the method, sensitive data is changed through a method of calling a large language model interface by utilizing a privacy protection technology and modes of replacing random values, changing letters into random letters, changing numbers into random numbers and randomly replacing characters with characters, so that the format of original data can be reserved to a certain extent; meanwhile, safe transmission and accuracy of the data (especially when sensitive information is involved) on the internet can be guaranteed, the privacy leakage problem existing in the large language model calling process can be effectively solved, and the safety privacy of the data is protected.

In order to meet hierarchical, multi-user and differentiated application requirements in a complex environment, the invention provides an image grading security privacy protection method, which comprises the following steps of: partitioning a plaintext image to be encrypted, classifying DCT (Discrete Cosine Transform) coefficients of image blocks, and carrying out non-uniform compression by utilizing a compressed sensing technology; and in combination with adaptive threshold sparsification and a scrambling-diffusion encryption method, progressive image grading security privacy protection oriented to users with different grades of permissions is realized. Wherein the user with the low-level authority can only obtain the edge contour information of the image, the user with the middle-level authority can obtain the image with fuzzy texture details, and the user with the high-level authority can obtain the image which contains contour and detail information and has the best visual effect, so that hierarchical access control is realized.

The invention belongs to the technical field of digitization in the power industry, and discloses a data sharing display method for a power marketing system and a power distribution system. The data format conversion module converts the format according to the variable quantity and the rule and then outputs the data; the data transmission optimization network module monitors a channel and a load, and transmits after adjusting parameters according to an algorithm; the data security protection module analyzes sensitive information, encrypts and manages authority, verifies integrity and then transmits the information; the data caching module calculates the importance level, manages caching and then outputs the importance level; the data display optimization module selects a naive Bayes model for training to obtain a user operation habit probability model, and efficient sharing and optimized display of data of the two systems are achieved. According to the method, the data sharing problems of inflexible data format conversion, poor transmission stability and real-time performance, insufficient security privacy protection and the like of an electric power marketing system and a power distribution system due to data characteristic difference are effectively solved, the data processing and application efficiency of an electric power system is improved, and powerful support is provided for digital development of the electric power industry.

The invention focuses on artificial intelligence to be applied to the field of education, aims to solve the problems of a traditional education method and an existing artificial intelligence teaching assisting device, and provides a generative artificial intelligence teaching assisting system and a miniaturized device. According to the system, by means of a high-performance cloud server, a teaching assisting system client is built, a cloud resource library with classified storage, encryption management and rich resources is built, and a teaching feedback subsystem supporting multi-form feedback and intelligent analysis is developed. An advanced generative artificial intelligence program and a large model are accessed, and operations such as data preprocessing, training fine tuning, evaluation optimization, integration fusion and security privacy protection are carried out. The client application process comprises the links of receiving a registration request, selecting a teaching stage and a school category, establishing a file, uploading data, sending a resource demand instruction, calling and distributing resources and the like. The system has multiple functions of personalized teaching analysis, intelligent question and answer and the like. The beneficial effects are obvious, the miniaturization design is convenient for carrying and deployment, and the hardware cost is reduced; the teaching efficiency and quality are improved through multiple functions; the cloud architecture realizes resource sharing optimization and promotes artificial intelligence program learning; the teaching feedback subsystem enhances communication; the unique algorithm trains the accurate feedback capability, and provides powerful support for the technological innovation and development of the education industry.

The invention relates to a system and method for realizing fund settlement automation by using a block chain technology, and the method comprises the steps: recording a transaction through a distributed account book, automatically executing settlement through an intelligent contract, updating the account book through a decentralization mechanism, guaranteeing the legitimacy of a participant through a fund verification network module, and guaranteeing the compliance through a supervision and auditing interface module. And the security privacy module protects data, so that the clearing efficiency, transparency and security are improved, and the healthy development of the financial industry is promoted. Automation and transparency of fund settlement are realized, the settlement speed is greatly improved, delay and cost are reduced, the transparency of the settlement process is enhanced, and the auditing efficiency is improved.

The present invention discloses a strong security ciphertext retrieval method and system that supports result pattern leakage hiding, comprising two parts: a subset predicate encryption method capable of hiding vectors and a strong security ciphertext retrieval method capable of hiding result pattern leakage hiding. The said subset predicate encryption method capable of hiding vectors implements a strong security privacy discrimination method for vector subsets, by performing a one-time encryption and request process on the vector subset, thereby judging whether the predicate set belongs to the original overall attribute set, and will not leak relevant privacy information. The said strong security ciphertext retrieval method capable of hiding result pattern leakage hiding solves the privacy leakage problem in the member detection and matching process in the traditional connection keyword searchable encryption scheme, by performing member existence discrimination on the label set of the keyword document pair, and in this process, the result pattern association information between the keyword and the document will not be leaked, thereby effectively enhancing the security of the system.

The invention discloses an illegal evidence chain evidence obtaining method and system based on external graphic features of a garbage bag, and relates to the technical field of garbage classification, and the method comprises the steps: obtaining an illegal putting graph uploaded by an inspection worker; inputting the violation putting image into a target identification model, and obtaining a violation image label; and screening out target video data from a video database according to the illegal image tag, and storing the target video data as law enforcement evidence. According to the invention, the efficiency and accuracy of garbage classification and illegal behavior supervision can be improved, the security, privacy and authenticity of data are ensured, a favorable means based on illegal evidence is provided for supervision of unclassified residents, and conditions are provided for unattended delivery points.

The present invention discloses an automatic audit and inspection method and system based on emission source statistical data, which relates to the technical field of statistical data auditing. The method first collects data through multimodal fusion and then pre-processes it through adaptive noise filtering and data enhancement. Fuzzy logic and genetic algorithms are used to dynamically generate optimization rules, and automatic auditing is carried out with the help of deep convolution and long short-term memory networks. Anomalies are detected and graded warnings are issued, and intelligent correction suggestions are provided. The results are stored in multiple dimensions and visually fed back. The method also covers security, privacy, and external collaboration steps. The present invention improves the efficiency and accuracy of emission source statistical data auditing through multimodal acquisition, intelligent auditing, and other technologies. It can dynamically optimize rules, provide graded warnings, and intelligently correct them. It has security protection and external collaboration functions, providing strong support for environmental management decisions.

This application provides a data processing method, apparatus, and related equipment based on a blockchain network. The method includes: a first node sending an access request for target data to a second node of a second business sub-chain, the access request carrying verification information of a first block of the first business sub-chain, the first block storing a pre-access record of the target data by the first node; receiving first response data sent by the second node, the first response data including authorized access information of the target data and identification information of the Trusted Execution Environment (TEE) of a third node; sending a request to obtain the target data to the third node according to the identification information of the third node's TEE, and receiving encrypted target data generated by the third node's TEE sent by the third node. This method can achieve efficient data sharing between multiple chains and ensure security and privacy during cross-chain data interaction, thereby improving the operating efficiency and security of the blockchain network.

The invention provides a data sharing method and device and a computer program product, and aims to realize safety, privacy protection and efficient sharing of data, and the method comprises the following steps: a trusted authorization center generates a homomorphic encryption public and private key pair for a data provider; the data provider performs homomorphic encryption on the original data by using the public key and then uploads the original data to the IPFS cluster, and the cluster calculates a data hash address and generates a data fingerprint; and the data provider sets an access control strategy, performs attribute encryption on the data fingerprint, and uploads a result to the data sharing block chain. And when a data visitor requests for access, the block chain verifies the matching between the attribute of the data visitor and the access control strategy, and if the matching is successful, the visitor is allowed to obtain the encrypted data and decrypt the encrypted data by using the corresponding private key, and finally original plaintext data is obtained. According to the method, data privacy and security are effectively protected, and flexible data sharing is realized at the same time.

The application relates to a mobile hard disk encryption method based on a touch screen and a mobile hard disk, and the mobile hard disk encryption method comprises the following steps: S1, generating encryption track data through a touch screen module; S2, converting the encryption track data into encryption instructions, and converting a register into a register in an encryption state according to the encryption instructions; and S3, triggering decryption instructions in the mobile hard disk in the encryption state, and updating the register in the encryption state into a decryption state according to the decryption instructions. In the prior art, the data security problem is that people with ulterior motives can easily steal the mobile hard disk or steal the data of the hard disk in a short time; the scheme can solve the problems that the password operation of the mobile hard disk is complicated and the state display is not intuitive while the safety and privacy are considered.

The invention discloses an industrial data sharing method and system based on cognitive intelligence and a storage medium, and the method comprises the steps: constructing an evolutionary deep learning identity verification system, and achieving the dynamic identity verification and behavior anomaly detection of heterogeneous equipment through a genetic algorithm, online incremental learning and multi-model integrated voting. In the factory, a space-time attention mechanism is combined with a dynamic graph neural network, data core features are extracted through self-supervised comparative learning, and equipment time sequence dependence, space correlation and topology dynamic changes are captured; a scheduling strategy is constructed through multi-agent deep reinforcement learning, a game theory balancing mechanism is introduced, edge nodes are coordinated to process high real-time requirements, and disaster recovery is optimized; generating unique identifiers of equipment, nodes and features; the cognitive intelligent decision engine analyzes the features, generates optimization suggestions in combination with a knowledge graph and causal reasoning, triggers an alarm in case of abnormality, and performs closed-loop response through an automatic control loop. According to the invention, the intelligence, reliability and security privacy protection capability of the system are improved.