126 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.

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.

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.

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.

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 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.

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.

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.