223 results about "Trust level" patented technology

The invention provides a credible industrial agent task distribution method and system, and relates to the technical field of data processing, and the method comprises the steps: receiving a registration request sent by an industrial agent developer, and storing the metadata information of an industrial agent into a distributed account book based on the registration request; and based on the metadata information, receiving a task distribution request sent by a task requester, and matching candidate industrial agents and unique identifiers meeting function requirements in a distributed account book. Credible agents are screened through distributed account book evidence storage core information and dynamic trust evaluation, the credibility level is iteratively updated after execution, and credibility traceability of the whole task distribution process and dynamic optimization of the credibility of the agents are achieved.

A system and method for privacy-preserving communication validation and multi-attribute trust scoring is disclosed. The system analyzes communication metadata to determine pattern legitimacy by comparing current communication patterns against relationship fingerprints without accessing communication content. The system validates relationship context between communicating parties using interaction graph analysis and historical communication data. Cross-network intelligence correlation compares current patterns against aggregated patterns across voice, email, and messaging services, creating a self-strengthening security framework that recognizes emerging threat patterns while validating legitimate communication behaviors. The system generates comprehensive multi-attribute trust assessments comprising individual trust attribute scores including engagement rate, reliability index, channel preference, temporal pattern, and behavioral pattern, combined into overall trust levels. Trust context is displayed through a user interface presenting simplified, intuitive, and actionable information with progressive disclosure capabilities, enabling informed user decisions while preserving privacy. Communication processing actions provide users with appropriate engagement options tailored to specific trust assessment results.

The invention discloses a CRITIC-based man-machine cooperation system trust degree evaluation method, and belongs to the technical field of man-machine interaction and human factor engineering, and the method comprises the steps: S1, obtaining the physiological data and flight data of a pilot when the pilot executes a manned and unmanned system task; s2, preprocessing and standardizing the physiological data and the flight data respectively; s3, weight calculation is carried out based on a CRITIC method, and standardized multi-dimensional feature data is used as input of a CRITIC model and is used for calculating objective weights of all indexes; and S4, calculating a credibility value by using the generated weight matrix. By adopting the CRITIC-based man-machine cooperation system trust degree evaluation method, objective real-time quantitative evaluation is realized; the weight is adaptively determined according to the data features, the method is more scientific than artificial experience, physiological and behavior data are fused to capture psychological changes, the trust level can be monitored, the cooperation strategy is adjusted accordingly, and the task safety and efficiency are improved.

The invention belongs to the technical field of Internet of Things security, and particularly relates to a multi-level Internet of Things equipment security management and access control method, which comprises the following steps of: performing bidirectional verification on a digital certificate and a hardware fingerprint through an edge node when equipment is accessed; calculating credibility in real time and dynamically dividing security levels by using a hybrid evaluation algorithm based on equipment operation context data; a fine-grained access strategy is generated in combination with equipment attributes and environmental risks, and cross-level collaboration is realized through a lightweight protocol; abnormal behaviors are detected in real time in the access process, and high-risk operation is blocked within milliseconds; and strategy conflict resolution and adaptive optimization are realized through formalized verification and deep reinforcement learning. According to the technical scheme, the identity authentication reliability, the authority dynamic adaptability, the strategy consistency and the threat response speed of the Internet of Things equipment are remarkably improved, and a systematic security guarantee is provided for large-scale Internet of Things applications with high security requirements.

The invention relates to the technical field of ship navigation and data safety, solves the technical problem that an existing ship data safety guarantee system has defects in the aspects of data trust evaluation and data correction, and particularly relates to a safety guarantee method for credible interaction of inland ship shore-based driving control data under a zero-trust architecture. Comprising the following steps: standardizing operation data to obtain ship sensing data and shore-based data with the same dimension; based on an evidence theory, taking the ship sensing data and the shore-based data as independent evidence sources to perform fusion processing so as to obtain a trust evaluation result for quantitatively representing data credibility; and performing consistency correction on the ship sensing data and the shore-based data based on a least square method. According to the method, scientific and rigorous trust evaluation is realized, mathematical optimality of data fusion is guaranteed, and long-term reliability is ensured. Meanwhile, the credibility and the weight are directly associated with the equipment precision and historical data, so that an operator can flexibly adjust the system to adapt to different equipment.

The invention discloses a distributed computing task scheduling security guarantee method and system based on dynamic trust evaluation, and the method comprises the steps: collecting and preprocessing the operation state data of each computing node in real time, and dynamically calculating and updating the trust degree of each node according to the operation state data; according to the credibility and in combination with node resource loads, the tasks are only allocated to nodes with the credibility not lower than a preset threshold value and sufficient resources to be executed; the node state is continuously monitored in the task execution process, when a node fault is detected or the node trust degree is lower than the threshold value, task rescheduling is triggered, and the affected task is migrated to the remaining nodes with high trust degree and sufficient resources to continue to be executed; the key data of task allocation, node selection and task completion state are written into the block chain by using the characteristics of decentralization, non-tampering and encryption protection of the block chain so as to ensure the transparency and data security of the task execution process.

The invention relates to the technical field of data center resource scheduling, and discloses an intelligent data center optimization method based on distributed GPU computing power scheduling. According to the method, historical scheduling records are quantitatively evaluated, historical strategies are distributed to experience groups of different levels according to scheduling effect indexes and strategy trust levels, and a structured strategy library is formed. And for a target performance level defined in the dynamic behavior model of the data center, calculating a serialized scheduling scheme for achieving a target, and selecting candidate strategies from the structured strategy library. And carrying out adaptive correction on the serialized scheduling scheme and the candidate strategy by adopting a fusion decision-making method to generate a final scheduling strategy. And executing the final scheduling strategy, generating a control command in combination with the real-time resource data to implement resource adjustment, and recording an actual performance result. By comparing the deviation between the actual performance result and the target performance level, the deviation source is diagnosed, the experience grouping content is revised, and the structured strategy library is optimized.

The invention belongs to the technical field of data security, and particularly relates to a trust-based Internet of Things data security system, which comprises a hierarchical trust evaluation module used for converting equipment identity legality, data integrity and behavior compliance into quantifiable trust values through an identity-data-behavior three-dimensional model; and the dynamic trust updating module is used for realizing periodic updating of trust values, linkage authority control of trust levels, and abnormity repair and access blocking of low-trusted equipment according to trust data acquired in real time, and ensuring synchronization of a trust state and an actual safety condition of the equipment. According to the invention, a multi-factor identity authentication mechanism of equipment hardware fingerprint + dynamic token + cloud identity verification is constructed through the hierarchical trust evaluation module, so that equipment identity credible verification is realized, and the risks of identity counterfeiting and certificate leakage are resisted.

The invention discloses a total-factor integrated large Token data management system, and the system comprises an identity credential collection unit which is used for obtaining an identity label and associated business data from a plurality of social subjects; the identifier abstraction unit is used for mapping the identity identifier into a standardized Token primary key according to a main body type and structuring the associated business data into a corresponding digital asset package; the total element aggregation unit is used for aggregating and packaging the digital asset package into a single verifiable large Token data structure, and the large Token comprises a Token primary key and a dynamic trust level; the dynamic trust engine is used for calculating and updating the trust level of each main body in real time and binding the trust level to the corresponding large Token; and the intelligent service execution unit is used for responding to an external business instruction and calling the large Token to realize intelligent service.

An electronic device and a method of operating an electronic device comprising processor circuitry is disclosed, the method comprising receiving media data associated with a media stream, the media data comprising one or both of audio data representative of audio and video data representative of video; determining a trust level associated with the media stream based on the media data; and providing an output indicative of the trust level.

A device includes a plurality of chiplets. At least one pair of chiplets of the plurality of chiplets is coupled to one another. Each chiplet of the plurality of chiplets includes a Root-of-Trust (RoT) circuit and a trust level mapping circuit. For each chiplet of the plurality of chiplets, the trust level mapping circuit of the chiplet is configured to modify trust levels of transactions received from a different chiplet of the plurality of chiplets.

The invention relates to the technical field of maritime monitoring electronic fences, in particular to a maritime electronic fence internet monitoring method and system, and the method comprises the steps: receiving a structured operation intention statement; obtaining associated historical behavior records; according to the historical behavior record, evaluating the trust level of the ship management party; inquiring whether an effective structured operation intention statement related to the current ship in time and space exists or not; if yes, according to the trust level of the current ship, judging that the judgment result of the deviation behavior belongs to an in-plan deviation or illegal behavior; if not, the property of the deviation behavior is judged according to the electronic fence basic rule set. The method has the advantages of obviously reducing the workload of manual verification and improving the monitoring accuracy and efficiency by intelligently distinguishing in-plan deviation and real violation.

A distributed resource automatic matching method based on credibility grading comprises the steps that multi-dimensional operation performance indexes of edge nodes of a distributed power grid are collected, a node initial credibility evaluation value is generated through quantitative calculation, and a node credibility initial model is constructed; capturing a node operation behavior change trend based on a sliding time window, adjusting each performance index evaluation weight according to a node data fluctuation amplitude, calculating a dynamic trust degree evaluation value by combining a dynamic weight mechanism, dividing the nodes into at least two trust levels according to a preset threshold value, and mapping the nodes of different levels to corresponding physical regions; when a regulation and control task is responded, candidate resources are preferentially matched from high-trust-level nodes, and resource scheduling deployment is completed in combination with task urgency and node electrical characteristic related factors; after the task is completed, the dynamic credibility evaluation value of the node is corrected based on the actual execution effect evaluation result of the node, the corrected evaluation value is used for updating the node credibility model and subsequent resource matching, and a closed-loop feedback mechanism is formed.

The invention discloses a zero-trust-based WAPI electric power communication security access method and system and a storage medium, and the method comprises the steps: carrying out the identity authentication of a terminal device, the identity authentication comprising certificate authentication and biological feature authentication, and the biological feature authentication comprising fingerprint authentication; if the identity authentication is passed, starting a dynamic access strategy for the network based on the trust level; monitoring an identity authentication process and a dynamic access process in real time, and continuously performing risk assessment to obtain a risk assessment result; and granting dynamic access authority or directly terminating access based on an evaluation result. According to the invention, through dynamic fingerprint authentication and dynamic granting of the access authority, fine-grained access control is carried out on resources while the security is ensured, the reliability and service continuity of the system can be improved, and unauthorized access and potential network attacks can be effectively prevented.

A computer-implemented method performs dynamic filtering within a service mesh. While transferring data from one microservice to another microservice, each microservice evaluates a level of trust with each upstream and downstream microservice based on the level of trust score. Each microservice evaluates which data should be filtered while transferring data to downstream microservice and which data should be filtered while receiving data from upstream microservice.

A method for processing schedule information and a first electronic device for implementing the method are disclosed, relating to the field of communication technology. The method includes: the first electronic device receiving a first message sent by a second electronic device, the first message carrying the trust level of the second electronic device; determining whether the trust level of the second electronic device meets the preset conditions; and when the trust level of the second electronic device meets the preset conditions, the first electronic device sending a first schedule to the second electronic device. By adopting this technical solution, selective schedule synchronization can be achieved.

The invention provides an access control method and an access control system based on satellite internet application, which are used for improving the reliability and the security of satellite internet application center platform resource security protection. The access control method based on the satellite internet application comprises the following steps: after an access request is received, performing identity authentication on a satellite terminal and a user according to information carried by the access request; if the authentication is not passed, refusing the access request; if the authentication is passed, collecting related state data about satellite terminal attributes, user attributes and application access resource attributes through a situation awareness technology according to information carried by the access request, and performing comprehensive trust evaluation on the satellite terminal according to the collected related state data; and matching the comprehensive trust evaluation result to a corresponding trust level, and comparing the matched trust level with a preset access request trust level to realize access control. According to the invention, the reliability and security of satellite internet application center platform resource security protection are improved.

A method includes: receiving an integrated circuit design; classifying, by the processing device, a signal path of a sub-circuit of the integrated circuit design based on a connection between an input port of the signal path and a component of the sub-circuit to generate a classification of the signal path; computing, by the processing device, a security vulnerability result of the sub-circuit of the integrated circuit design based on the classification of the signal path and based on a trust level of a zone in a fan-in cone to an input port of the signal path; and generating a security vulnerability report based on the security vulnerability result of the sub-circuit of the integrated circuit design.

The invention discloses a yellow storm terrorism content identification and filtering method and system, and relates to the technical field of digital content auditing, and the method comprises the steps: carrying out the modal decomposition and preprocessing of a to-be-detected content, including the calculation of a single-modal sensitive probability and confidence, and recording the coordinates and confidence of a local image region; calculating a dynamic weight and performing normalization processing based on the confidence and the prior credibility of each mode; calculating a final fusion score by combining the sensitive probability and the weight of each mode, and performing content auditing decision according to a preset threshold value; and the modal priori credibility is updated through manual feedback data. According to the method, the detection rate of cross-modal violation contents is remarkably improved through a multi-modal collaborative analysis and confidence-driven dynamic fusion technology; and the system adopts a three-level decision-making mechanism to automatically allocate auditing resources, so that the manual rechecking cost is greatly reduced, meanwhile, an online learning function is introduced to continuously optimize the model, the sensitivity to novel violation contents is kept, and the processing efficiency and detail identification are both considered.

The present technology provides for receiving communications at an authentication service, and the communication is indicative of a change in a security posture of an authenticated session between a user device and a secure service. The authentication service can then determine that the change in the security posture of the authenticated session impacts the trust level associated with the user device and causes the trust level to fall below the threshold. The authentication service can then send an enforcement signal to a security agent on a network device that provides remedial actions that a user can undertake to improve the security posture of the authenticated session.

The invention discloses a safety management and control method, system and equipment combined with biological characteristics and a medium, and the method comprises the steps: verifying the identity of a user in a manner of combining living body detection and behavior characteristic detection, and obtaining an identity verification result; calculating a trust score of the user in combination with a preset trust scoring model according to the identity verification result; dividing the users into N trust levels according to the trust scores, and configuring corresponding access permissions and security measures for each trust level; continuously monitoring physiological state change and operation behavior abnormity of the user in a user access process, and updating the trust score according to a monitoring result; and adjusting the trust level of the user through the updated trust score and a risk assessment algorithm. By constructing a zero-trust architecture based on multi-modal biological verification, the technical problems that a traditional power grid access control system is single in identity authentication and rigid in authority management are effectively solved.

The invention belongs to the technical field of information security, industrial internet of things and data credible transmission, and particularly relates to a device credibility judgment and data security guarantee method, which comprises the following steps: acquiring protocol interaction data and running state data of a third-party device in an industrial scene; based on the protocol interaction data and the operation state data, static features, dynamic features and associated features of equipment are extracted, and a dynamic adaptive behavior fingerprint model is constructed; presetting an evaluation index and a dynamic weight adjustment mechanism, and quantitatively evaluating the credibility of the equipment; carrying out importance layering according to the credibility of the equipment, and carrying out layered traceability data integrity verification by adopting a hierarchical hash abstract and encryption signature technology to obtain a verification result; and dividing trust levels based on the equipment credibility and a verification result, executing data access, interactive control and associated trust conduction, and performing equipment full-life-cycle dynamic trust management. Therefore, the problems of equipment identity authentication deficiency, equipment trust management staticization and the like in the prior art are solved.

Systems and methods are described herein for handling authentication by elevating a user's authentication level as the user performs more operations. An authentication system may receive a first request for a first database operation. The first database operation may include first trust event data for a first trust event associated with a user to be written to a database. For example, a trust event may be a user completing some type of operation successfully. In some embodiments, the operation may be in relation to a third party. A successful operation may then be recorded in the database. As a result of the successful operation, when a trust level is calculated for the user, the trust level may be increased due to the successful operation.

The invention discloses a privacy protection AI decision making system based on digital signature, comprising a security chip which is internally provided with a cryptographic hash function H and is used for generating an irreversible large Token digital asset package through operation Token = H (ID + Datahash + TrustLevel) according to a user unique identity ID, an original data hash value Datahash and a dynamic trust level TrustLevel; the digital signature management module is used for generating a multi-level digital signature system, binding a digital signature with the multi-dimensional organization information and carrying out digital signature on the large Token digital asset package; the privacy protection module is used for calling the digital signature management module to carry out signature verification and triggering a desensitization program; and the AI large model interaction module is used for receiving the signed and desensitized large Token digital asset package and generating a decision result by utilizing AI analysis capability.

An improved approach is proposed for adapting available NFC channels to establish a bi-directional NFC channel where no such channel would otherwise be available. The approach is adapted for usage between a mobile device and a target receiver, such as a point of sale (POS) device, both having NFC capabilities. Specific approaches are proposed to orchestrate communications to prevent collisions. The NFC channels can be operated alongside secure elements to establish a dynamic cryptographic handshake that is used for enhancing trust levels for sensitive communications or transactions.

To provide an encoder and a decoder, including confidence level information of the encoder in supplement enhancement information.SOLUTION: A decoder decodes received bit streams to acquire a supplemental enhancement information (SEI) message. The SEI message includes picture source data, and expresses a confidence level of relative confidence of an encoder in the accuracy of this picture source data. The decoder uses confidence level indication to determine whether the decoder should separately identify a picture as progressive or interlaced picture and / or whether the decoder should identify a duplicate picture, or the decoder receives picture source scanning information in the SEI message as valid as it is.SELECTED DRAWING: Figure 6

The invention discloses a multi-modal data fusion-based power terminal access attack behavior detection method and system, and the method comprises the steps: collecting data through a specific collection tool, and carrying out the collection of four key indexes, namely, a traffic mode, a system log, signal strength and network topology; and an access security assessment detection model is constructed based on a Transform model of multi-modal feature fusion, and abnormal behaviors of the access terminal of the power Internet of Things platform are accurately identified. A system constructed according to the method comprises a collection unit, a processing unit, a behavior detection unit, a trust evaluation unit and a blocking unit, a deep learning algorithm is utilized to analyze multi-modal features, terminal behaviors are evaluated in combination with a trust evaluation mechanism, and trust levels are divided. According to the invention, an intelligent blocking rule strategy is provided for different abnormal behaviors, and the access safety and reliability of the electric power Internet of Things terminal are improved.

A user may register with a fleet system responsible for remote management of a fleet of endpoint devices. The fleet system can determine a level of trust for the user based on information associated with an email address of the user and other information and register the user if the determined level of trust is sufficient. The registered user can request an activation token to be used for provisioning an endpoint device for consent-free out-of-band management. An endpoint device can be provisioned by the user submitting the activation token to the fleet service, the fleet service sending the activation token to the endpoint device, the endpoint device generating an ownership voucher request that includes the activation token, the fleet service verifying and validating the ownership voucher request, the fleet service returning a signed ownership voucher to the endpoint device, and the endpoint device verifying the signed ownership voucher.

The invention discloses an auxiliary driving system credibility evaluation method, system and device and a medium, and relates to the technical field of intelligent driving, and the auxiliary driving system credibility evaluation method comprises the following steps: obtaining the actual confidence of an auxiliary driving system in multiple dimensions; calculating a credibility index of the auxiliary driving system according to the actual confidence of the multiple dimensions; and determining the trust level of the auxiliary driving system according to the trust index of the auxiliary driving system. According to the invention, the operation state of the auxiliary driving system is quantified through the credibility index, so that a driver can accurately know the operation state of the auxiliary driving system in the use process.

Methods and systems for managing operation of a data processing system are disclosed. To manage operation of the data processing system, during a startup of the data processing system, an entity may obtain, using a security protocol and data model (SDPM) security standard, at least a first device certificate of a certificate chain for a device. Using the at least the first device certificate and a store of trusted device certificates, the entity may perform a first analysis process to determine a level of trust in the device. If the level of trust is indeterminate, the entity may use the certificate chain and a store of trusted root certificates to perform a second analysis process to determine the level of trust in the device. Operation of the data processing system may be managed based on the level of trust in the device.