308 results about "Trustworthiness" patented technology

The invention provides a credible data space construction method and system based on data sharing, and relates to the technical field of data processing.The method comprises the steps that S1, in response to a request of a user for sharing target data, credible preprocessing is conducted on the target data to obtain credible data; s2, establishing a decision-making capability model for a user to autonomously perform credible authorization on the credible data; s3, analyzing a multi-dimensional sharing risk of the trusted data; s4, planning an optimal authorization auxiliary unit sequence based on the multi-dimensional sharing risk and the decision ability model; s5, in the process that the user autonomously performs credible authorization on the credible data, sequentially executing the authorization auxiliary units in the optimal authorization auxiliary unit sequence; and S6, aggregating the credible data subjected to credible authorization to construct a credible data space. According to the method, the credibility and the security in the data sharing process are remarkably improved, and the quality of the shared data and the protection of user privacy are ensured.

A computer-implemented system and method for evaluating an AI agent associated with an enterprise computing environment by aggregating a plurality of AI agents associated with the enterprise computing environment, and evaluating, with an agent evaluation unit, a selected AI agent of the plurality of AI agents using evaluation data, wherein the evaluation data includes operational behavior data and trustworthiness data. The agent evaluation unit can be configured to determine a total agent evaluation score for the selected AI agent from a plurality of category specific evaluation scores. The agent specific categories can have associated therewith a category evaluation score and the agent specific categories can include categories associated with the operational behavior and the trustworthiness of the selected AI agent. An AI-based intervention can be applied in response to the total agent evaluation score.

The invention discloses a multi-tenant adaptive cooperative defense method and system in a hybrid cloud scene, and the method comprises the following steps: obtaining a remote credible proof of hardware, verifying the credibility of a tenant agent and the integrity of a code based on the remote credible proof, granting a mark, and detecting cloud information to generate a machine readable portrait containing key parameters; collecting local multi-mode log data coding embedding vectors of tenants, and after privacy processing, calculating that the abnormal confidence exceeds a threshold value by a local model to trigger current limiting or blocking; and constructing a hierarchical federated architecture containing local nodes of tenants, a regional cloud and a global control plane, encrypting aggregation parameters to generate a cross-tenant attack recognition global model and issuing the cross-tenant attack recognition global model to each tenant on the premise that log data is not out of a domain. According to the invention, integrity verification is carried out on the tenant side security agent through the trusted access mechanism, and the tenant portrait is constructed based on the trusted mark, so that the real and verifiable cooperative defense capability among a plurality of tenants is realized, and the cooperative process has dependency.

Aspects of a trustworthiness check of a video data stream are described. According to a first aspect, a unique identifier which identifies a media asset to which a portion of a video data stream to be checked on trustworthiness belongs, is included into the trustworthiness check. According to a second aspect, a certificate of a content provider for performing the trustworthiness check is retrieved from a track of editors stored at an external resource. A third aspect provides a method for identifying a portion of a video data stream to be checked on trustworthiness using a digital signature. According to a fourth aspect, a digital signature for checking a portion of a video data stream is retrieved from an external resource.

Aspects of a trustworthiness check of a video data stream are described. According to a first aspect, a unique identifier which identifies a media asset to which a portion of a video data stream to be checked on trustworthiness belongs, is included into the trustworthiness check. According to a second aspect, a certificate of a content provider for performing the trustworthiness check is retrieved from a track of editors stored at an external resource. A third aspect provides a method for identifying a portion of a video data stream to be checked on trustworthiness using a digital signature. According to a fourth aspect, a digital signature for checking a portion of a video data stream is retrieved from an external resource.

A method for checking a video data stream having a video encoded thereinto on trustworthiness comprises: subjecting a predetermined portion of the video data stream, or data derived therefrom, to a hash function to obtain a hash value; deriving a digital signature from the video data stream; and checking whether the hash value fits to the digital signature to determine whether the video data stream is trustworthy.

Aspects of a trustworthiness check of a video data stream are described. According to a first aspect, a unique identifier which identifies a media asset to which a portion of a video data stream to be checked on trustworthiness belongs, is included into the trustworthiness check. According to a second aspect, a certificate of a content provider for performing the trustworthiness check is retrieved from a track of editors stored at an external resource. A third aspect provides a method for identifying a portion of a video data stream to be checked on trustworthiness using a digital signature. According to a fourth aspect, a digital signature for checking a portion of a video data stream is retrieved from an external resource.

Provided in the present invention are a method and system for ensuring the trustworthiness and security of cyberspace. The method comprises: step S1, on the basis of a multi-identifier network, implementing multi-identifier addressing having authentication and packet signing embedded therein; step S2, defining digital customs, a digital passport and a digital visa based on the multi-identifier network; step S3, on the basis of time data, a digital visa key and a hash function, performing calculation to obtain the digital visa based on the multi-identifier network; step S4, on the basis of the hash value of the digital visa and a cross-states passport key, performing calculation to obtain the digital passport based on the multi-identifier network; step S5, implementing the digital customs by means of a multi-identifier network router, and using and maintaining an exit border table by means of the digital customs; and step S6, by means of the digital customs, using an arrival border table to verify the digital passport, and updating the arrival border table. The present invention can effectively guarantee the trustworthiness and security of cyberspace, and enable the traceability of blockchain logs, thereby providing a better foundation for ensuring the order, rule of law and peace of cyberspace.

The invention discloses a decentralized AI service credible management system and a decentralized AI service credible management method. According to the method, the client and the server of each network domain are constructed through the credible AI model based on federal learning, so that the credibility of the AI model obtained by training can be ensured; the block chain node in each network domain can evaluate the credibility of the AI model uploaded to the block chain by the server of each network domain through the AI model credibility evaluation based on logistic regression and clustering, thereby supporting the subsequent personalized AI service. Through on-chain registration, under-chain storage and authorization access control of the AI model realized based on the client, the server and the block chain network, block chain-based AI service management is realized, and decentralized management of the whole life cycle of the AI service can be realized.

The invention discloses a family resource optimization system based on artificial intelligence, and the system comprises a family digital twinning layer which is used for constructing a dynamic digital twinning layer which is synchronous with a family physical environment; the global sensing layer is used for connecting a physical family and digital twinning and converting original sensor data into semantic understanding capable of being utilized by the digital twinning; the cognitive decision-making layer is used for reasoning and learning the semantic understanding provided by the global perception layer and generating a digital instruction; and the physical execution and closed loop layer is used for converting the digital instruction into an executable specific action and is responsible for collecting consequences and feedback generated by the action so as to form a complete perception-cognition-action-feedback intelligent closed loop. By means of the family resource optimization system based on artificial intelligence, the problems that current family resources are passive in response, lack of unified scheduling and optimization, low in credibility and the like can be solved, and the intelligent and integrated operation capacity of the family resources is remarkably improved.

The present invention relates to the field of smart city networks, specifically to systems and methods for enhancing security, scalability, and data integrity. More particularly, the invention focuses on a decentralized system for authentication and data management in Internet of Things (IoT) ecosystems within a smart city context. The system addresses critical challenges in conventional centralized architectures, such as single points of failure, scalability bottlenecks, and vulnerabilities to malicious attacks. By integrating a multi-layered approach that combines elliptic curve cryptography for secure node registration, a trust analysis model for real-time behavioral and data trustworthiness assessment, and a blockchain network for decentralized, immutable transaction verification, this system provides a robust and resilient solution. The system ensures secure communication between IoT nodes and fog servers, validates data integrity, and maintains a transparent and tamper-proof ledger of activities, thereby facilitating reliable and efficient operation of various smart city services.

The invention relates to the technical field of intelligent community data governance and main identity normalization management, and discloses a future community member architecture intelligent building method and system, and the method comprises the steps: carrying out the field semantic standardization of structured resident data; fusing the unstructured data; generating a ciphertext identifier; executing cross-system identity matching in combination with a field similarity function; and generating a unique main identity file. Compared with the prior art, the technical problems that data of multiple departments are independently managed, field structures are heterogeneous, a unified identity primary key is lacked, and particularly, high-precision identity fusion and normalization management cannot be realized under the complex data conditions of name duplication, different address expressions, field missing or untrusted sources and the like of residents are solved. According to the method, cross-system multi-source data fusion and identity uniqueness determination are realized through semantic hash slot construction, image-text joint recognition, multi-source fuzzy matching and a credible main file generation mechanism, and the uniqueness and credibility of future community resident identity data are improved.

The application provides a virtual power plant trusted terminal access method based on a multi-layer blockchain technology, belongs to the field of virtual power plants, and is used for solving the problem that the security and trustworthiness of virtual power plant access trusted terminals are difficult to guarantee in related technologies.In the method, the trustworthiness data of the trusted terminal is analyzed and determined according to terminal association data of the trusted terminal, and then the terminal access strategy of the trusted terminal is determined according to the trustworthiness data of the trusted terminal, so as to continuously guarantee the security and trustworthiness of the trusted terminal, and further guarantee the security and reliability of the virtual power plant.

In some examples, during a startup of the computer system, a controller performs a validation of components in a chain of trust of the computer system, and a validation of a manifest certificate for the computer system. Based on the validations of the components and the manifest certificate, the controller obtains information of a hardware or program component of the computer system. The controller includes the obtained information of the hardware or program component in an update manifest certificate. The controller obtains a signed version of the update manifest certificate, and stores the signed version of the update manifest certificate in a storage repository for establishing a trustworthiness of the computer system.

The invention discloses a judicial evidence storage protection method and system for preventing data tampering of Root / jailbreak equipment, and relates to the field of judicial evidence storage safety of mobile terminals. A trusted root is constructed based on a built-in TEE of a mobile terminal, the trusted state of the equipment is verified, then a trusted timestamp is generated through multi-source heterogeneous time synchronization, position verification is completed by combining GPS, Wi-Fi and base station data, camera drive and sensor parameters are verified to guarantee credibility of an acquisition source, and finally evidence storage data is signed by the TEE and then uploaded to a judicial block chain alliance chain. Through hardware-level protection and multi-dimensional verification, source-level tampering is thoroughly blocked, evidence is ensured to be true and legal, the evidence can be reproduced on mobile terminals such as mobile phones and tablet computers supporting TEE, and the method is suitable for various judicial evidence obtaining scenes.

One or more embodiments of the present disclosure provide a data transmission method in an agent system, an agent system, a device and a medium, the agent system comprising an agent application, a first client, a first server and a large model, the first client, the first server and the large model being deployed in a trusted execution environment, comprising the following steps: receiving a first user request in response to an agent application, encrypting the first user request by a first client, and transmitting first encrypted data to a large model; the first client receives second encrypted data transmitted by the large model; the first client obtains the reasoning result, encrypts at least one subtask, and transmits third encrypted data to the first server; the first client receives fourth encrypted data transmitted by the first server; and the first client obtains a task execution result, and the agent application outputs the task execution result. And deploying the first client, the first server and the large model in a trusted execution environment to realize security and credibility of data transmission in the intelligent agent system.

The invention discloses an extensible multi-view 3D Gaussian splashing method based on credibility driving. The method comprises three modules: a new view initialization module based on a multi-view stereoscopic vision index, a perception constraint depth inference module and a visual angle credibility Gaussian rendering module. A new view initialization module based on a multi-view stereoscopic vision index obtains an initial low-resolution depth map and a rendering map; the perception constraint depth reasoning module obtains a reliable depth estimation value through evaluation of perception consistency, so that challenges caused by source image quality fluctuation and scene geometric complexity are effectively dealt with; the visual angle credibility Gaussian rendering module introduces credibility information related to a visual angle in a Gaussian inference process so as to improve the fidelity of a rendered image and the generalization ability of the method. Under the combined action of the modules, the new view angle generation task is excellent in performance, and the method can be widely applied to the fields of virtual reality, augmented reality, movie and television special effect production and the like.

A computer-implemented method may be used to establish trustworthiness of an Edge Computing Device. The method may include, at one or more storage devices, storing expected values pertaining to aspects of the Edge Computing Device. The method may further include, at one or more hardware processing devices, receiving the expected values, receiving an Event Log from the Edge Computing Device, extracting actual values from the Event Log, and comparing the actual values with the expected values to determine whether the actual values match the expected values. The method may further include, at one or more communication devices, responsive to determining whether the actual values match the expected values, transmitting an indication of whether the Edge Computing Device is trustworthy.

A system and method for enhancing reliability and trustworthiness in cyber-physical systems using artificial intelligence are disclosed. The system comprises a plurality of sensors for collecting real-time data, a data processing unit that analyzes the data using machine learning models to identify patterns and anomalies, and a communication interface for transmitting recommendations based on the analysis. The machine learning models include an adversarial random forest (ARF) model and a probabilistic circuit model, and the analysis results are cross-validated across the collected data to verify accuracy and reliability. The method involves collecting data, analyzing it using the machine learning models, cross-validating the results, generating recommendations, and displaying them to an end-user. The invention provides a novel approach for enhancing the reliability and transparency of AI-driven cyber-physical systems.

The invention relates to the technical field of video security and protection, and discloses a zero-trust video data access privacy protection method and system, and the method comprises the steps: carrying out the semantic perception analysis of a video data access request of an access subject, and obtaining a subject identifier, a request access action and target video data; performing identity verification on the access subject, and performing digital signature packaging on a verification result and a security context attribute of the access subject to obtain an identity token; performing access credibility evaluation on the access subject to obtain a real-time credibility; performing privacy sensitivity analysis on the target video data to obtain a content sensitivity label; performing differential desensitization planning on the target video data to obtain a fine-grained desensitization strategy; performing an access control decision on the target video data, and generating a complete access audit log; performing incremental updating on the behavior baseline and the historical access behavior log; according to the invention, the efficiency of zero-trust video data access privacy protection can be improved.

One method includes obtaining a snapshot of a data confidence fabric billing manifest, broadcasting the snapshot to one or more nodes of the data confidence fabric, deploying, at the nodes, billing logic included in the data confidence fabric billing manifest, and executing the billing logic to obtain information concerning a trust service provided regarding data associated with the nodes. The trust service may include trust annotating the data with an assessment as to the relative trustworthiness of the data.

The invention discloses a cross-border e-commerce trade autonomous and trusted identity management method based on an intelligent contract, and the method comprises the steps: controlling the access authority of an organization member through employing an identity registration contract on the basis of the construction of a cross-border e-commerce trade autonomous and trusted identity management organization, and recording and updating the identity information of the organization member through employing an information management contract, autonomous formulation and updating of an identity management contract are realized by using a decentralized decision-making mode based on proposal and voting, the credibility of identity management is guaranteed from a whole process and multiple levels, and members with governance qualification can promote formulation and updating of the identity management contract through a group decision-making mechanism of proposal and voting at any time, so that the identity management efficiency is improved. And the voting weight of the member depends on the type and number of the obtained qualification token, so that the identity management rule and system can timely and fairly reflect the common opinion of the organization member, and the credibility is guaranteed from the aspects of autonomy and adaptability of the identity management rule formulation.

The application discloses a kind of personalized medication service data security processing systems of fusing zero trust architecture and differential privacy, it is related to medical data security technical field, including dynamic trust evaluation to request subject;Inject differential privacy noise;Combining zero trust strategy continues to obtain trust score;Only receive desensitized statistical information or encrypted intermediate representation in the cloud.The application solves the privacy leakage and trust loss problems caused by static protection and weak desensitization in traditional personalized medication services, significantly improves the security, compliance and user trustworthiness of medical data during collection, use and sharing, and provides a secure foundation that can be implemented, verified and continuously evolved for intelligent medication services in high-sensitivity scenarios.

The application provides a component verification method and device of an Internet of Things equipment and a readable storage medium, and the specific implementation scheme is as follows: reading the equipment component information of an OTP storage area after the equipment component is powered on and completed, performing self-checking based on the equipment component information to obtain a component self-checking result; sending the corresponding equipment component start state to a verification platform according to the component self-checking result; receiving a discrimination random number generated by the verification platform in response to the normal start state of the equipment component, calling an internal private key to digitally sign the discrimination random number to obtain a signature value; and sending the signature value and the built-in digital certificate to the verification platform to verify whether the component of the Internet of Things equipment is a trusted component. The application scheme provides a component trusted verification mechanism of the Internet of Things equipment, improves the component trustworthiness of the Internet of Things equipment, and in addition, the component self-checking by the Internet of Things equipment and the second re-verification by the verification platform improve the security strength of the equipment component verification.

System and methods for validating and confirming the integrity of documents and for validating identity related to the documents based on artificial intelligence and / or blockchain systems. In embodiments, a system implements validation controls to validate and / or confirm the integrity of documents to safeguard against document tampering, ensuring the integrity of the document remains intact throughout the signing process and afterwards. In addition, in embodiments, a system with enhanced functionality implements advanced verification and / or validation mechanisms to ensure the identity of the signatory parties of a document accurately reflects the authorized individual(s). The advantageous result of a system implemented in accordance with the present disclosure is a system that is able to address the critical gaps of current existing digital signature systems and in doing so, the present disclosure enables a system to significantly bolster the security, reliability, and trustworthiness of digital document signing and management.

The application discloses a credibility updating method and device based on threat intelligence and electronic equipment, and the credibility updating method comprises the following steps: obtaining the intelligence type and intelligence information of target threat intelligence; determining the intelligence weight value of the credibility of the target threat intelligence in each preset dimension based on the intelligence information; determining the initial credibility score of the target threat intelligence based on the intelligence type and all the intelligence weight values; updating the target credibility score of the target threat intelligence based on the initial credibility score; and performing aging processing on the target threat intelligence if the target credibility score is less than a preset credibility threshold. The application solves the technical problem that the change of the credibility of threat intelligence under the influence of multiple dimensions cannot be determined in the related art.

This invention discloses a lightweight cross-domain identity authentication and key negotiation method based on blockchain technology. First, a trusted consortium blockchain is established to ensure the trustworthiness of the root node certificate. Then, nodes within each domain broadcast their node identities using blockchain technology, obtain information through on-chain access, and achieve authentication and key negotiation with the help of trusted nodes. This method can resist various common attacks and meets security requirements such as authentication and key negotiation while protecting privacy. Designed to address the timeliness difficulties in cross-domain authentication in fields such as securities and finance, this solution avoids complex operations such as encryption / decryption and signature verification, using lightweight operations such as hashing and XOR. It can be applied in fields such as finance, banking, transportation, education, government affairs, and healthcare, improving the security and efficiency of cross-domain access.

There is provided an apparatus suitable for use for facilitating trustworthiness assessment. The apparatus can include a first module and a second module. The first module can be configured to receive at least one input signal which can be processed by the second module to generate one or more output signals. The input signal(s) can be associated with at least one user requirement and / or at least one security objective. The input signal(s) can be processed by manner of identifying at least one security metric associated with at least one security requirement. The security requirement(s) can be based on at least one user requirement and / or at least one security objective, determining a positive determination, a negative determination or an indeterminate determination concerning fulfillment of a security metric in respect of at least one security objective and / or at least one user requirement and deriving at least one trustworthiness score accordingly.

The invention provides a device address security addressing verification method and system based on a password identifier, and relates to the technical field of power system network security, the method is applied to a receiving device, and the method comprises the following steps: receiving an ARP security message from a sending device; querying a public key corresponding to the sending equipment address from a trusted database of the electric power communication system; a mapping relationship between the password identifier of the sending device and the address of the sending device is stored in the trusted database; the password identifier is generated based on a hardware unique feature of the sending device; verifying the ARP security message by using a public key corresponding to the address of the sending device; and if the verification is passed, updating the local ARP cache table based on the sending device address. By establishing a strong binding relationship between the unique hardware feature of the sending equipment and the password identifier, the equipment identity is ensured to be unique and cannot be tampered, the credibility of an address resolution process is ensured through an ARP security message, attack behaviors such as address cheating and illegal access are blocked, and the reliability of equipment addressing verification is improved.

Provided are computing systems that feature a centralized attestation device able to perform attestation on behalf of a number of different platform components. More particularly, the present disclosure provides extensible mechanisms for representing trustworthiness statements by an attester device within a platform either as implicit attestation or explicit attestation. Thus, according to one aspect of the present disclosure, a computing system can include an attester device that implements a hybrid model for presenting evidence of measurements of all the components in a platform to a verifier.