173 results about "Trust relationship" patented technology

The invention relates to the technical field of network security, in particular to a network intrusion detection method and system based on behavior analysis, and the method comprises the steps: collecting real-time data of a target network, the real-time data comprising network flow data, user access logs, equipment state parameters, inter-user interaction logs and trust relationship data; performing space-time correlation analysis on the real-time data to generate a dynamic behavior graph; performing anomaly detection on the dynamic behavior map to generate an abnormal node list; and executing attack blocking based on the abnormal node list. According to the invention, the recognition and defense capabilities of abnormal behaviors are effectively improved.

A method of authorizing a computer mouse to perform a particular action may include receiving, by a network device, a request associated with a particular action to be performed by a computer mouse. The request may be digitally signed using a private device key of the computer mouse. The method may include validating, by the network device, the digitally signed request using a public device key previously provided by the computer mouse. The method may include generating a response to the request. The response may indicate whether the computer mouse is authorized to perform the particular action associated with the trusted request. The method may include sending the response to a client device associated with the computer mouse.

The invention discloses an intelligent decision-making method and system based on deep learning, and relates to the field of data processing. The method comprises the steps of obtaining place data and corresponding attribute data of a to-be-decided project; establishing a fuzzy relation matrix between the places and the attributes; generating a network model reflecting trust relationship strength among users through trust propagation operation of the graph neural network; identifying a community structure containing a community overlapping degree through a community discovery algorithm; and according to the trust relationship strength between the users and the community overlapping degree, calculating an influence weight of a decision maker, forming a group consensus through a robust optimization method, and generating a decision result of the project to be decided. Aiming at low network relation modeling precision caused by multi-source heterogeneous data in bus station layout decision making in the prior art, the method and the device have the advantages that the network relation modeling precision is low through accurate modeling of an information propagation path in a complex trusted network, effective dimension reduction representation of a high-dimensional feature space and robust optimization solution in an uncertain environment; therefore, the calculation precision and robustness of the bus station layout intelligent decision-making system are improved.

A serving network establishes a connection with a UE via an N3AN using a trusted registration procedure to establish a secure access link between the UE and the serving network via the N3AN. The serving network sends a trust indication message via the N3AN to the UE using the secure access link to identify the N3AN as trusted or untrusted. When the received trust indication message indicates the N3AN is untrusted, the serving network executes an untrusted registration procedure with the UE using the secure access link to establish the connection between the UE and the serving network. When the received trust indication message indicates the N3AN is trusted, the serving network continues execution of the initial registration with the UE using the trusted registration procedure to establish the connection between the UE and the serving network. The UE and serving network exchange messages via the established connection.

Determining when and / or how to execute a program or script published to a blockchain network may rely on data that is external to the blockchain (i.e., external data) such as data about the real-world state and events. A prover (e.g., a node of the blockchain network) may perform one or more computations on behalf of a client, such as the execution of the program. To execute the program properly, the prover may rely on external data, which the prover may obtain from a data provider that has a trust relationship with the client (e.g., the client accepts as valid data provided by a trusted data provider). Systems and methods described herein may be utilized by a prover to provide cryptographically verifiable assurances of the authenticity of input data purportedly obtained from a data provider, the input data utilized in the execution of a program or script published to a blockchain network. An example of a blockchain network is a Bitcoin-based network.

A method, performed by at least one processor of a trust broker, for establishing trust of vendor-supplied Open Radio Access Network (O-RAN) software, includes: receiving a plurality of O-RAN software from a plurality of O-RAN software vendors, the plurality of O-RAN software respectively signed by the plurality of O-RAN software vendors; for a software, among the plurality of O-RAN software, verifying a signature included with the software using a vendor certificate issued by a certificate authority (CA) of the corresponding vendor; based on successful verification of the signature, performing a software attestation with respect to the software using a digital certificate issued by a CA of the trust broker; and providing the attested software to an operator corresponding to the O-RAN system and with which the trust broker has a trust relationship.

The invention discloses a data encryption method applicable to open source gap terminal equipment, which comprises the following steps of: firstly, establishing communication connection based on a gap distributed soft bus technology, and generating a trust relationship through identity identification authentication; during data transmission, a national cryptographic algorithm, a symmetric or asymmetric encryption algorithm, a hybrid encryption algorithm and the like are dynamically selected according to data types, importance, transmission scenes and equipment performance. After being encrypted, the data are transmitted to the target device through the soft bus, and the target device decrypts and verifies the data. And the terminal equipment is integrated with the hardware security module to realize hardware encryption and key storage. Security module adaptation development is carried out based on an HDF library, and one-time development and multi-terminal operation are achieved. In the encryption process, a fragmentation encryption strategy can be adopted, multiple devices can perform collaborative encryption and decryption, and the encryption efficiency is improved by defining the task priority and sequence and utilizing a distributed task scheduling mechanism and reasonably allocating resources.

Information security systems and methods are presented including synchronized state machines operating with private data and tamper-evident identifiers that expand the problem space of attacks by unauthorized consumers of data in flight or rest to near infinity. A quantum cryptography-resistant distribution network for identity, trust relationship, encryption, and transcoding of valuable information is described where a priori knowledge of the hardware or software is irrelevant to the safe time for the data protected and modified as needed within a multikey encryption and data control and availability assurance domains. Due to its low compute design, the methods described within are well suited for a variety of tasks including real-time data streams such as video and audio distribution.

The invention discloses a transnational trust modeling method fusing quantum state mapping and language phase difference, comprising the following steps: 1) estimating the site of each country based on the voting data of the united countries, and calculating the trust weight between countries through a weighting function in combination with the political ideal point distance and voting consistency of each country to obtain the initial quantized value of transnational trust; 2) mapping the initial trust value to a quantum state on a Bloch ball, applying phase perturbation according to semantic difference reported by a core country media, and simulating trust interaction between countries under discourse difference in combination with a quantum game mechanism so as to obtain a trust value mapped back to a classical space; and 3) carrying out iterative updating on the trust value by adopting a social influence model, dynamically describing an evolution process of the trust relationship between the countries, and outputting a time sequence change result of the trust network between the countries. According to the method, by fusing the international voting behavior and the transnational utterance difference, dynamic and quantifiable modeling of the inter-country trust relationship is realized, and an innovative methodological support is provided for international relationship research, transnational strategic game analysis and global risk early warning.

The application discloses a computing power scheduling system and method of a computing power network, relates to the technical field of computing power distribution and scheduling, and comprises the following steps: acquiring all computing power nodes in the computing power network and constructing a computing power node interaction network model; acquiring a computing power task initiating node and computing power task attributes; determining a target attribute group cluster of the computing power task based on the computing power task attributes, and recording all computing power nodes in the target attribute group cluster as demand target nodes of the computing power task; determining an execution trust target node of the computing power task based on the computing power task initiating node; finding an intersection of the demand target nodes of the computing power task and the execution trust target node of the computing power task, and recording the intersection as a comprehensive target node; and determining an execution computing power node of the computing power task from the comprehensive target node in combination with balanced load. The application has the advantages that the interaction network model of the cooperative trust relationship and the attribute group cluster is constructed, multi-dimensional node dynamic screening and optimized matching are realized, and the efficiency and reliability of the computing power scheduling are significantly improved.

The invention provides a hybrid encryption method and device and a storage medium, and the method comprises the steps: a client generates a short-term SM2 key pair and exchanges with a server after obtaining a long-term SM2 key pair and a server public key, dynamically generates a session SM4 symmetric key through an SM2 key exchange protocol, and finally achieves the data transmission and response processing through the session SM4 symmetric key. Through the implementation of the scheme of the invention, the client not only establishes the basic trust relationship based on the long-term SM2 key pair, but also generates the short-term SM2 key pair during each service request, and dynamically derives a unique session SM4 symmetric key and an initial vector by cooperatively executing the SM2 key exchange protocol with the short-term key of the server. And each request has an independent security context, so that the decryption risk after the session key is reused or stolen is fundamentally prevented, and the end-to-end dynamic security communication under the national secret system is really realized.

The invention relates to an exoskeleton safety redundancy strategy and switching method based on anomaly detection, and the method comprises the steps: collecting a tension state between the active control intention of a user and the response execution of an exoskeleton system, defining as a potential anomaly when continuous asynchronous tension exists between the expected control direction of the user and the inertial behavior of the system; a redundancy strategy triggering precondition is adopted; after abnormal triggering, the system outputs a control suggestion, and whether the control right should be taken over by a redundancy strategy or not is judged by combining user reverse force application and posture deviation trend behavior performance, and master control continues to be maintained or a forced freezing state is entered; the intervention level of a redundancy control strategy is dynamically adjusted, and continuous control evolution from low intrusion to high takeover is achieved; if it is detected that an irreconcilable confrontation trend exists between continuous reverse intention input of the user and control output of the system in the control evolution process, and intervention ratio unbalance of the system is continuously expanded, the system enters a soft freezing or conservative attitude mode; and in the freezing state, judging whether the man-machine trust relationship is reconstructed or not.

In at least one example, a method includes establishing, by a sniffer provisioning server (SPS) of a first wireless device, a trusted relationship between the first wireless device and a sniffer tool using a public key of the sniffer tool. An out-of-band (OOB) key exchange provisions the public key of the sniffer tool to the wireless device. The method further includes obtaining, by the SPS, key material uniquely related to a communication session established between the first wireless device and a second wireless device using a shared password. The key material excludes the shared password and a session key uniquely related to the communication session. The method further includes publishing, by the SPS, the key material over a channel to the sniffer tool based on the trusted relationship. The channel is secured using the public key of the sniffer tool.

The invention discloses a computing power network dynamic trust evaluation and access control method based on a GRU-BiLSTM fusion model, and the method comprises the steps: capturing the behavior dependence characteristics of a user and a node in a short period through a GRU, and employing the BiLSTM to model a bidirectional time sequence evolution rule of a trust relation, thereby achieving the classification prediction of the credibility level of the user and the regression estimation of the credibility degree of the node, and achieving the access control of the network. On the basis, a four-level access strategy is designed in combination with a system real-time load and a trust volatility, adaptive optimization of access control is realized by dynamically adjusting an access threshold, joint prediction of a bidirectional trust relationship between a user and a node is realized, and a more accurate behavior basis is provided for an access decision; and secondly, a trust volatility index is introduced, and a dynamic closed-loop mechanism of trust evaluation-policy execution-volatility updating is constructed, so that the access control policy can be adaptive to evolution of trust situation, and intelligent and refined authority management is realized.

The invention discloses a trust evaluation method and system based on a heterogeneous graph neural network. The method comprises the following steps: acquiring multi-dimensional information in a social network; optimizing the initial trust relationship representation based on a soft selection mechanism and a meta-path mechanism; learning and processing trust node information based on the trust prediction model; and evaluating the trust representation of the social node based on a trust prediction model to obtain a trust evaluation result in the social network. Through a soft selection mechanism, the importance degree of the trust chain of any length can be obtained. Through reconstruction of the meta-path adjacency matrix in the heterogeneous graph neural network and rotation operation of the features, the accuracy and robustness of social network trust evaluation are improved.

The present invention relates to a system and method for enhancing the security of smart contracts within blockchain networks by utilizing a hardware secure enclave for monitoring and suspending contract activities in response to detected security breaches. The system establishes a trust relationship between the hardware secure enclave and the smart contract, providing the smart contract with a unique enclave signature to ensure secure communications. A modular data monitoring application within the enclave is configured to detect suspicious activities, while an attestation process ensures the integrity of the enclave's code. Upon detecting a security threat, the system initiates a pause function to suspend contract operations and mitigate potential damage. The invention further leverages blockchain relayer modules to witness and transmit contract activity, and consensus mechanisms such as Proof-of-Work (PoW) or Proof-of-Stake (PoS) for transaction verification. This method provides a scalable, secure solution for preventing attacks on smart contracts and safeguarding digital assets in decentralized applications.

The invention discloses a multi-dimensional dynamic trust evaluation method and system for a new energy power terminal, and the method comprises the steps: extracting the universal features of the terminal based on terminal log interaction data, extracting special knowledge evidence according to an equipment level perception layer and a network layer, and converting all features into 0-1 standardized values; when a terminal accesses for the first time, the static attribute of the terminal is complementarily collected, so that an initial trust baseline is established and an initial trust value is given; firstly, an IoT device interaction diagram is constructed, nodes are terminal devices, attributes are knowledge evidence vectors, edges are device direct interaction relations, and weights of the edges are defined by historical interaction quality; fusing the equipment knowledge evidence and the interaction relationship through a node2vec algorithm to generate a low-dimensional embedded vector; and finally, calculating the cosine similarity of the device vectors, multiplying the cosine similarity by the interaction frequency proportion to obtain the direct trust degree of the 0-1 interval, and quantifying the direct trust relationship between the devices. Performing trust evaluation on the message flow dimension; and historical interaction behavior trust evaluation and timeliness optimization.

The invention discloses a computing power scheduling system and method for a computing power network, and relates to the technical field of computing power distribution scheduling, and the method comprises the steps: obtaining all computing power nodes in the computing power network, and constructing a computing power node interaction network model; obtaining a computing power task initiating node and computing power task attributes; determining a target attribute cluster of the computing power task based on the computing power task attributes, and recording all computing power nodes in the target attribute cluster as demand target nodes of the computing power task; based on the computing power task initiating node, determining an execution trust target node of the computing power task; solving an intersection of the demand target node of the computing power task and the execution trust target node of the computing power task, and recording the intersection as a comprehensive target node; and determining an execution computing power node of the computing power task from the comprehensive target node in combination with the balanced load. The method has the advantages that by constructing the interactive network model of the cooperative trust relationship and the attribute group clustering, multi-dimensional node dynamic screening and optimal matching are realized, and the efficiency and the reliability of computing power scheduling are remarkably improved.

The invention discloses a short message center information processing early warning method and system, and particularly relates to the technical field of information processing, and the method comprises the steps that a short message center receives short message content of a sending user, extracts sensitive vocabularies in short messages, determines similar short messages of the short messages of the sending user by using a similarity calculation method based on the sensitive vocabularies in the short messages, and sends the short messages to the sending user; determining short message behavior data of a sending user short message, determining a relationship between the sending user short message and a short message receiver through a knowledge graph, obtaining trust relationship data of the sending user short message, determining a risk short message, and determining the risk short message according to a historical record of sending the short message by the sending user and a record of sending the short message in a current monitoring time period. According to the method, the difference between the historical behavior and the current behavior of the sending user is determined through the KL divergence, the habit information of the sending user is determined, and the short message sending behavior of the sending user in the monitoring time period is warned in time, so that malicious short messages and junk short messages can be prevented from spreading, and the security of the platform is improved.

The invention provides an equipment mode control method, electronic equipment and a device. The first electronic equipment displays identification information corresponding to the second electronic equipment in a first equipment list; wherein the first equipment list is used for displaying identification information of the electronic equipment which has a trust relationship with the first electronic equipment and supports the first equipment mode; the first electronic equipment displays a first control corresponding to the second electronic equipment; in response to the operation acting on the first control, the first electronic equipment sends a first signaling to the second electronic equipment; wherein the first signaling is used for triggering the second electronic equipment to follow the state of the first equipment mode of the first electronic equipment, and adjusting the state of the first equipment mode of the second electronic equipment. Therefore, cross-device equipment mode control can be conveniently realized.

The present invention discloses a method, apparatus, device, and product for cross-domain management of terminals, including: establishing a trust relationship between domain nodes according to the user's need to log in to a cross-domain terminal; when the user logs in to a cross-domain terminal, the domain node where the logged-in terminal is located uses the trust relationship established between the domain nodes to verify the user information through the domain node where the user is located; if the user information verification is passed, the user is allowed to log in to the cross-domain terminal. The present invention discloses a method, apparatus, device, and product for cross-domain management of terminals. By removing the centralized control method, it realizes the cross-domain management of distributed terminals, can ensure data isolation between domain nodes, improve data privacy, simplify the cross-domain login process of terminals, improve the usage efficiency, and has the characteristics of high data security for cross-domain management of terminals, rich functions that can be realized, and a wide range of applications.

The invention discloses a newborn intensive care unit service platform, and relates to the technical field of medical informationization, and the newborn intensive care unit service platform is characterized in that semantic analysis is carried out on newborn consultation questions proposed by family members, and whether corresponding replies can be automatically generated or not is judged based on a preset medical knowledge base; if the corresponding reply cannot be automatically generated, the question is transferred to a manual reply end, and the medical staff manually answers the question; obtaining the state information of the medical personnel at the manual reply end, and calculating a reply priority value; and sending the consultation question to the medical staff corresponding to the maximum reply priority value to reply the consultation question. Therefore, when the system cannot answer the problem of the family member and needs to switch to the corresponding medical personnel for manual reply, the proper medical personnel can be reasonably selected for reply according to the actual condition, so that the timely information transmission and the accurate reply content are ensured, the anxiety emotion of the family member is reduced, and the trust relationship between the doctor and the patient is increased; and the adverse effect on the treatment of the newborns is reduced.

This invention belongs to the field of data processing and group decision-making technology, specifically relating to a social network group decision-making method, method, and apparatus for selecting government services. The method involves acquiring initial preference information of multiple users for multiple government service options, initial trust relationships between users, and attribute information of the government service options; reconstructing a complete global trust matrix through a dynamic trust decay mechanism; dynamically identifying user behavior states into four multi-granularity states; adjusting the aggregation weights of user preferences; obtaining consensus preference values ​​for each government service option; and generating a recommendation ranking or selection result for the government service options.

The present application discloses a single sign-on verification and overall management method and device based on the PAM framework. Among them, the method includes: first determining the single sign-on type of the administrator user, and then calling the single sign-on interface corresponding to the target single sign-on type from the set of login interfaces provided by the PAM framework. The single sign-on process can be broken down into: 1. Establishing a trust relationship between the administrator user and the integrated management platform; 2. Establishing a trust relationship between the integrated management platform and the network security device; 3. Establishing a trust relationship between the administrator user and the network security device. This process is uniformly implemented using the PAM framework, and solutions such as the CAS server, certificate, independent password, TOKEN, etc. can be selected. Resource unified allocation is carried out based on the SSO type library, docking platform library, and user library, and the processing and verification functions are completed based on the service provider interface SPI of the PAM framework, solving the technical problem that it is difficult for the prior art to provide compatibility verification for multi-type single sign-on SSO solutions.

A decentralized trust relationship collaborative prediction method and related device, comprising: starting a blockchain system and publishing public security parameters and an initialization model on the blockchain, loading a consensus algorithm at a consensus node; constructing a local complete graph using local data, pre-training the local graph to obtain a user feature extraction and relationship prediction model, and obtaining the features of the user nodes; establishing an open graph based on public knowledge, sending the open graph to the blockchain consensus node, and performing consensus confirmation on the open graph; and outputting a final trust relationship prediction model. The decentralized trust relationship collaborative prediction method based on federated learning and graph neural network aims to solve the limitations of traditional trust evaluation methods in multi-source distributed scenarios and improve the accuracy of trust relationship prediction.

The application provides a trust feature completion and trust relationship prediction method and system for missing trust information, comprising: constructing a social relationship graph and a trust relationship graph to obtain social attribute features and trust attribute features respectively; compressing the social attribute features and the trust attribute features, and constructing a feature converter to convert the compressed social attribute features; constructing a user trust relationship prediction model, taking the compressed features of the user as input, and outputting a prediction label; taking the converted compressed social attribute features as input, and outputting a prediction label; taking a real label as supervision information, combining a reconstruction loss and an information bottleneck loss, training the model, and outputting a trust relationship. The application constructs a social behavior graph and a trust relationship graph, and learns the social attribute features and the trust attribute features of the user respectively. This multi-view learning method can more comprehensively capture the feature information of the user, and improve the accuracy of trust relationship prediction.

The invention provides an authentication method and an authentication system for simultaneous interconnection of a plurality of peripherals, and the authentication method comprises the steps: setting a background server as a unique trust source of the peripherals, and carrying out the identity registration of the peripherals through the background server; the association demand peripheral sends a function connection instruction through the background server; in response to the function connection instruction, the background server generates verification information and sends the verification information to all peripherals participating in interconnection at the same time; any peripheral in all the peripherals is controlled to serve as a verification initiator to send verification information to other peripherals in all the peripherals; the verification receiver verifies the verification initiator according to the verification information; if the verification is passed, the verification initiator and the verification receiver establish interconnection; the technical problem that in the related technology, when multiple devices are authenticated, each device needs to store and verify certificates of all other participating devices, so that a complex network trust relationship occurs, and a background server is likely to be overloaded is solved.

A method and system for continuous machine learning is disclosed. A set of domain-specific learning processes (LPs) from an external repository are obtained. Each LP of the domain-specific LPs is associated with at least one domain-specific knowledge graph representing learned parameters, patterns, and processing capabilities. Operational data from multiple sources is received and pattern representation is generated. One or more relevant LPs from the set of domain-specific LPs are identified by matching the pattern representation with at least one knowledge graph. The identified one or more LPs are executed to generate execution results and are validated through a contradiction resolution upon detecting the existence of contradictions between execution results and existing domain knowledge during the execution. The one or more LPs and their associated domain-specific knowledge graphs, trust relationships between LPs are updated based on validation outcomes and are submitted to the external repository.

The invention relates to an intelligent home control method and system, intelligent equipment and a medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: generating a unique identifier based on own hardware behavior characteristics, carrying out the cross verification of environment data of peripheral intelligent equipment which is accessed to the network, autonomously establishing a trust relationship, and building a dynamic network without a central node; collecting user behavior data, environment characteristics and equipment capability data; processing the user behavior data, the environment characteristics and the equipment capability data to obtain scene data fragments; autonomous evolution of scene data is realized through distributed collaborative learning, and intelligent control logic adaptive to a current scene is formed; and responding to an instruction sent by a user, cooperatively verifying the intention of the user with other intelligent equipment, and matching the corresponding scene data fragment to execute a control operation. The stability of the smart home is improved.

The embodiment of the application discloses a service permission token acquisition method and system, electronic equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: receiving an authentication request sent by a terminal device, wherein the authentication request carries authentication information, and the authentication information comprises a token used for automatically logging into a web application platform from a unified login page, and the token carries an identifier obtained from cached data of a local application having a trusted relationship with the web application platform; after authentication, redirecting the page to an authorization page; in response to a user-triggered consent authorization instruction, acquiring a user authorization code, redirecting the page to a callback page provided by the web application platform, and returning the user authorization code to the callback page, so that the callback page acquires at least an access token for accessing a service request interface according to the user authorization code. The application can realize single-point cross-layer quick login between different application layers, and is suitable for an account login scene.