100 results about "Trust relationship" patented technology

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.

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 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.

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 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.

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.

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.

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.

A communication method and apparatus for a relay, a terminal, and a network side device are provided. The communication method includes: receiving, by first user equipment (UE), relationship information delivered from a network side, where the relationship information is used to indicate a trust relationship of the first UE; receiving, by the first UE, identification information sent by second UE; and based on the relationship information and the identification information, performing, by the first UE, relay connection or relay communication with the second UE, or refusing, by the first UE, to perform relay connection or relay communication with the second UE.

According to examples, an apparatus may include a first hardware component including a first memory and a first processor. The first processor may initiate pairing between the first hardware component and a second hardware component to establish a trusted relationship between the first hardware component and a second hardware component. In response to a successful pairing between the first hardware component and the second hardware component, the processor may compare a first setting of the first hardware component with a second setting of the second hardware component. In response to a determination that the second setting corresponds to the first setting, the processor may authorize operation of the second hardware component.

The embodiment of the specification discloses a payment system based on an agent, a payment server issues a payment voucher for the agent as an electronic identity of the agent, and a user terminal always stores the payment voucher in a TEE without transmission to the outside, so that the reliability of the electronic identity can be ensured, so that the payment server and the agent can establish a trust relationship by means of the payment voucher when paying, and the security of payment can be ensured in a scenario in which the agent is used instead of manual payment initiation.

A computer-implemented method, computer system, and computer program product authenticate a device using remote mutual recognition. The method includes determining that a network device requires management, where the network device is deployed at a location. The method also includes identifying a trusted device, where the trusted device is within a range of the network device's location. The method also includes establishing a trust relationship between the trusted device and the network device. Finally, the method includes enabling management access to the network device based on the trust relationship.

An information handling system may include at least one processor and an information handling resource. The information handling system may be configured to enable memory-mapped input / output (MMIO) communication between a program executing on the at least one processor and the information handling resource via a sealed memory region based on a cryptographic trust relationship existing between the program and the information handling resource.

The invention discloses a fragmentation node state detection method and system based on a dual-channel collaborative block chain, and relates to the technical field of block chains, and the method comprises the steps: constructing a node dimension feature vector based on the node behavior data of each fragmentation node for each fragmentation node, constructing fragment dimension feature vectors based on key index data of node behavior data of all fragment nodes in fragments to which the fragment nodes belong, respectively inputting the fragment dimension feature vectors into a deep learning model and a Gaussian mixture model, calculating a node anomaly score and a fragment anomaly score, and performing linear weighted fusion on the node anomaly score and the fragment anomaly score to obtain a fragment node anomaly score; and generating a comprehensive abnormal score, and judging the current state of the fragment node based on the comprehensive abnormal score. According to the method and the device, the technical problem of reduced robustness caused by the risk of node disguise and collusion attack which is easy to occur when nodes are distributed through a trust relationship or historical representation among the nodes in a block chain network fragmentation technology in related technologies is solved.

An information handling system executing a wireless human interface device (HID) compliant out of box experience (OOBE) system comprising a hardware processor to execute code instructions to determine a stored chassis type of a desktop or an all-in-one information handling system and determine capabilities and trust relationship of a peripheral HID via a stored peripheral device extensive markup language content file, and the hardware processor to execute code instructions to pair and operatively couple the wireless HID to the information handling system using a pairing technique and displayed pairing instructions dependent on whether a manufacturer pairing system application has been installed on the information handling system. Then, the hardware processor to execute code instructions to complete the OOBE system to set up the operating system with user input received from the established wireless links with the wireless peripheral HID to initialize an operating system for the information handling system.

There is provided an apparatus comprising means for receiving, at an entity of a network, an indication of an identity associated with a virtuality used in an application function from a user device, where the user device is authenticated using the network and the application function has a trust relationship with the entity; determining a digital signature based on an identity associated with the virtual image; and providing a digital signature to at least one of the user device and the application function for verifying the avatar from the user device used in the application function.

A system for verifying components of an industrial monitoring system includes a first module which is configured to establish a trust relationship with a component of the industrial monitoring system and request a component certificate from the component. The component certificate contains relevant information relating to the component. A second module is configured to check, in interaction with the component, the component certificate on the basis of relevant data stored in a trusted database, and to generate a notification on the basis of the result of the checking process.

A trust chain security trusted computing and data transmission method and device based on an intelligent computing platform and a storage medium, the method comprising intercepting and analyzing transmission data in a virtual machine and a platform system data transmission link, transferring safe data to a target link, and transferring unknown safe data to a designated platform system confusion area for confusion safe processing; using a log layered mining method to analyze the transmission data in the transmission link to analyze the association view formed by the association relationship of the virtual machine; according to the association view, the influence of the sensitive operation of any virtual machine on other virtual machines is used to realize dynamic maintenance of the trust chain between different virtual machines on the cloud; the system uses a benefit and cost ratio index to sort the trust relationship of different virtual machines, and the virtual machine with a larger benefit and cost ratio is given priority to establish a trust relationship. The method can realize dynamic maintenance of the trust chain of the virtual machine on the cloud, solve the problem of dynamic calculation of the priority of the trustworthiness of the virtual machine, and improve the operation efficiency of the cloud service network.

The present application provides a communication method and apparatus. A first UCA provides a service for a communication object of a first user, wherein the communication object of the first user includes a first communication object; a second UCA provides a service for a communication object of a second user, wherein the communication object of the second user includes a second communication object; the first UCA establishes a mutual trust relationship between the first communication object and the second communication object on the basis of a request of the first user or the second user; the first UCA receives a first information message from the first communication object, and sends the first information message to the second UCA on the basis of the mutual trust relationship; or the first UCA receives a second information message from the second UCA, and sends the second information message to the first communication object on the basis of the mutual trust relationship. In the design, the mutual trust relationship is established by a user, and the user can determine the communication objects between which the mutual trust relationship can be established, thereby implementing communication management and control of the communication objects by the user.

A computer-readable medium includes a mesh with a public key infrastructure relating to trust relationships between a first party and a second party. The mesh includes: a first chain representing the first party and including a first root element, mesh element and element; a second chain representing the second party and including a second root element and element. The first element includes a signature by the first party mesh certification authority, the mesh public key, a predecessor sibling hash of a preceding element in the first chain, and a neighbor link to a second linked element of the second chain; the second element includes a neighbor link to a first linked element of the first chain. The second chain includes a self-revocation element, a successor of the second linked element, and a self-revocation property and / or the first chain includes a revocation element, a first element successor, and a revocation property.

This application provides a data transmission method, electronic device, storage medium, and computer program product, relating to the field of communication technology. It enables the acquisition of an encryption key without Bluetooth pairing and the transmission of data with other trusted electronic devices based on that encryption key, simplifying the data transmission process between electronic devices. The method includes: acquiring an encryption key; scanning Bluetooth devices within a first range to obtain available devices, including a second electronic device storing the encryption key, the second electronic device being unpaired with a first electronic device, and the two devices having a trusted relationship; encrypting communication data based on the encryption key, the communication data being data transmitted between the first and second electronic devices via Bluetooth communication.

The invention relates to the technical field of network communication, and discloses a cross-domain trusted flexible Internet access service implementation method and system, and the method comprises the steps: transmitting an identity statement to a local network domain through an access device, so as to build a temporary trust relationship, and obtaining a temporary access credential; the problem of initial trust establishment in an unfamiliar network domain without a preset trust basis is solved. On this basis, the access device generates a structured description according to a task demand and an operation strategy, performs multi-round negotiation with a local network domain, and finally establishes a temporary service protocol within an acceptable range of both parties by identifying the difference between the service demand and the operation strategy and generating an alternative service proposal.

The invention provides a mobile crowdsourcing trust evaluation method and system, and relates to the technical field of mobile crowdsourcing. Comprising the following steps: constructing a hypergraph according to user nodes, working nodes and crowdsourcing tasks; constructing an initial trust evaluation model by using a heterogeneous graph neural network; constructing an optimization loss function by using a cross entropy loss function and a dual-information bottleneck loss function; performing parameter optimization on the initial trust evaluation model by utilizing an optimization loss function and a gradient descent method to obtain a final trust evaluation model; and performing trust prediction on the hypergraph by using the final trust evaluation model to obtain trust prediction values of the user and the working node corresponding to the specific crowdsourcing task. According to the method and the device, the problems that an existing trust relationship prediction scheme based on a graph neural network cannot fully consider environment information and a condition trust relationship under a specific task, so that the scheme cannot adapt to dynamics and diversity in a mobile crowdsourcing task, and the trust prediction accuracy is influenced are solved.

The invention discloses a federated learning client trust degree evaluation method, system and device, a medium and a program product, and belongs to the field of cyberspace security, and the method comprises the steps: firstly, mining structural features of nodes by using a heterogeneous graph attention network, and then obtaining initial embedding of the nodes; secondly, respectively taking initial embedding of a server node and a newly added client node as initial features of an evaluator and an evaluated person, mining transmissibility and combinatorial features of the nodes by using a graph convolutional neural network, obtaining final embedding of the nodes by combining the two embedding, finally serially connecting the final embedding, and fitting the final embedding to a standard full-connection layer, so as to obtain an evaluation result of the evaluator and the evaluated person; using a softmax function to predict a trust relationship between the two nodes; the system, the equipment and the medium are used for implementing the method. The program product comprises a computer program for implementing the method; according to the method, the cold start processing capability in the federated learning environment is improved, and the method has relatively high trust evaluation accuracy and efficient calculation performance.

Systems and methods are disclosed for implementing a system to generate a knowledge graph of trust relationships between roles in a cloud environment, and to identify misconfigurations that may lead to privilege escalation. In certain embodiments, a method may comprise implementing a graph-based role permission inspection system for identity and access management (IAM) roles in a cloud environment, including generating a graph representation of trust relationships between roles, where a first role having a first set of privileges can endorse a second role having a second set of privileges. The method may further include determining whether the second set of privileges includes a permission not available in the first set of privileges, and generating an indicator that the first role violates a policy when the second set of privileges includes the permission not available in the first set of privileges.

The present application relates to the technical field of asphalt pavement maintenance evaluation, and particularly relates to an asphalt pavement maintenance evaluation method based on a Bayesian sparse trust network, comprising: taking a Page Rank dynamic trust relationship as a framework, constructing a trust network among indexes through initial trust, secondary trust and a decay factor, and realizing dynamic evolution of evaluation weights; introducing a Bayesian inference theory, probabilistically modeling the decay factor, secondary trust and noise variance, and using an MH algorithm for posterior sampling to quantize uncertainty of evaluation results; applying a regularization sparse constraint to suppress interference of weakly correlated indexes and focus on core indexes such as rut depth and crack rate. The three are organically coordinated to form an integrated evaluation framework of "dynamic weight evolution-uncertainty quantization-core index focusing", and finally, aiming at the engineering characteristics of multiple indexes, strong coupling and uncertain information of asphalt pavement preventive maintenance evaluation, the maintenance evaluation highly matched with the actual technical condition is realized.