622 results about "Digital identity" patented technology

The invention provides a method and system for preventing identity spoofing during digital authentication processes using artificial intelligence (AI)-driven pattern recognition. The system receives an input data stream from a user attempting to authenticate, which may include biometric data, device behavior data, or user interaction data. An AI-based pattern recognition model processes this data to analyze user behavior patterns and detect any anomalies that may indicate potential spoofing attempts. The system compares the processed data against a pre-established user profile to generate an authentication decision. If anomalies are detected, the system can flag the authentication for further review or trigger additional verification steps, such as multi-factor authentication (MFA) or one-time password (OTP) prompts. The system continuously learns from user interaction data and dynamically updates the user profile to improve the accuracy of identity verification.

The invention relates to a system for realizing financial agent credible authentication based on distributed digital identity, which comprises a base layer, an identity layer, an authority layer and a business layer, and is characterized in that the base layer integrates distributed digital identity authentication service, subscription service and distributed storage service, and constructs a credible collaboration framework covering the whole life cycle; the identity layer is configured with a DID generation module, a DID verification module and a DID query module; the authority layer deploys a VC signing and issuing module, a VC verification module and a digital envelope module; the business layer comprises a client and a server between security institutions, and carries out cross-institution data calling through mutual trust verification and MCP message interaction. According to the system for realizing the credible authentication of the financial agent based on the distributed digital identity, through the fusion innovation of the distributed digital identity, the verifiable certificate and the block chain technology, the decentralization of identity authentication, the dynamic authority management and the full link of auditing and tracing are realized in a security industry agent cooperation scene.

The invention belongs to the technical field of block chains, and discloses a block chain-based digital identity authentication and traceability method, which comprises the following steps: acquiring user biological characteristic data, generating a characteristic root value, splitting key shares, and generating a key share set through block chain evidence storage; each distributed node generates an identity private key and an on-chain identity template, and associates the on-chain identity template with a chain identifier to form a multi-chain identity key pool and an on-chain identity template library; dividing a core chain and an edge chain, generating a zero-knowledge proof, generating a cross-chain certificate after verification of the core chain, sending an encryption result to the edge chain, and generating a temporary authority token; writing traceability information into the edge chain, aggregating multi-chain information through cross-chain traceability, and generating a traceability information chain and a cross-chain traceability validity proof; and recording a key use track and identifying a risk behavior, triggering a key limiting mechanism, dynamically updating an identity template permission on the chain, reversely optimizing key related parameters, and forming a closed-loop iterative identity and traceability management link.

The invention discloses an electronic archive intelligent retrieval method and system based on a block chain, and relates to the technical field of archive retrieval, and the method comprises the steps: extracting text features of an electronic archive, and generating metadata; generating a content hash value from the electronic file original text; writing the metadata, the content hash value and the ABE access strategy into the block chain smart contract; constructing a reverse index based on the metadata semantic tag, wherein an index entry is associated with a block chain storage address; calculating a root hash and anchoring the root hash to the block chain; analyzing a keyword and a digital identity certificate in the user retrieval request; calling an intelligent contract to verify whether the user attribute accords with the ABE access strategy of the target file; retrieving an encrypted hash list matched with the file in the distributed index; acquiring the encrypted file fragments from the distributed storage system; verifying data integrity; and combining the fragments to generate a final retrieval result. The method has the advantages that through deep coupling of the block chain and attribute encryption, an electronic archive management system considering security and intelligent retrieval is constructed.

The invention belongs to the technical field of information technology and intelligent health service, and discloses a community old-age care service resource optimal configuration method based on edge computing, which comprises the following steps: collecting physiological data, environmental data and activity data of old people to form original heterogeneous data, uploading the original heterogeneous data to a data warehouse through an urban and rural community network adaptation mechanism, generating a space-time tagging multi-modal data set; constructing a dynamic digital twinborn model, generating a space thermodynamic diagram, identifying different level priority requirements, and generating a time period allocation scheme through a conflict priority scoring mechanism; an MILP model is constructed to dynamically optimize edge node computing power and functional area space resources, and a resource optimization report and a block chain transaction list are generated; desensitizing the original data of the old people, creating a digital identity card, generating an encrypted service log, and synchronously recording migration behaviors of the old people; and triggering network strategy switching and priority threshold self-adaption, and carrying out resource scheduling and strategy closed-loop optimization.

The invention relates to the technical field of power data security, and provides a cross-subject power data security sharing and collaborative analysis method fusing a block chain and privacy computing, and the method comprises the following steps: registering and authenticating the digital identity of each participant through the block chain; registering the hash abstract and the access control strategy of each main body data to a block chain through an intelligent contract; the analysis task initiator issues a collaborative analysis task on the chain; scheduling each data party to locally execute the privacy computing task according to the task content; the data security and privacy protection capability is strong: the data is not out of the domain, the original data is not transmitted, and the main body data security and the user privacy are ensured; a credible collaborative analysis mechanism: based on a blockchain contract mechanism and a data traceability function, the whole process can be verified and audited; the method supports a plurality of privacy computing modes, is compatible with a plurality of privacy protection computing frameworks such as federated learning, SMPC and TEE, and has good expansibility.

The invention relates to the technical field of aerospace, in particular to low-altitude traffic flow airspace-oriented real-time planning, and provides a centimeter-level precision detection network covering a low-altitude airspace by integrating multi-dimensional data sources such as radar electromagnetic feature recognition, ADS-B (Automatic Dependent Surveillance-Broadcast) automatic monitoring, Beidou or GPS (Global Positioning System) space-time reference positioning and the like. The three-dimensional trajectory and motion situation of the aircraft are solved in real time, intelligent reconstruction of an airspace sector and adaptive optimization of a flight corridor are realized by adopting a dynamic programming algorithm driven by reinforcement learning based on the real-time pose data of the aircraft, and a flight conflict prediction model constructed by combining a space-time convolutional neural network is used for predicting the flight conflict. According to the method, potential risks can be pre-judged, an optimal avoidance path can be generated, full-process digital management and control from identity verification to airspace authorization can be realized by constructing an aircraft digital identity authentication system and a dynamic access control mechanism, and modules such as a three-dimensional navigation information service module, a low-altitude digital communication private network module and an intelligent early warning and warning system module are integrated. And the guarantee of full-life-cycle service is provided for the low-altitude aircraft.

The invention discloses a package full life cycle tracing system based on a block chain and the Internet of Things. The system comprises a package identification module which generates a unique digital identity and binds a block chain account; according to the multi-source information acquisition module, an embedded sensor network monitors the packaging state in real time; the data uplink processing module is used for spatio-temporal data enhancement and block chain transaction construction; the alliance chain network module is used for distributed account book management and consensus verification; the life cycle tracing module is used for full-cycle data visualization; and the closed-loop recovery verification module is used for carrying out recovery processing digital authentication. The system has the advantages that through deep fusion of the block chain and the Internet of Things, a full-life-cycle credible tracing closed-loop system is constructed, the problem that data of a traditional tracing system is easily tampered is solved, logistics optimization suggestions and quality early warning are generated in real time, and the packaging recovery rate is improved.

Techniques are described for subscription onboarding based on digital identifier (DIG-ID). One method includes acquiring a DIG-ID having a verifiably secure identity; transmitting a first request comprising the DIG-ID, a timestamp, and a digital signature (DS) associated with the DIG-ID and the timestamp; establishing a provisioning connection to a mobile communication network; and receiving at least one of a subscription credential and a user subscription profile via the provisioning connection.

The invention relates to a multi-modal virtual human real-time generation method based on an expression control embedding space, and belongs to the field of artificial intelligence. According to the method, an expression control embedding space is constructed and used for fusing voice semantics, a rhythm structure and multi-dimensional emotion information, and continuous and controllable multi-modal driving vectors are generated. The whole system has an end-to-end linkage mechanism from audio input to expression and action output. Semantic features, rhythm structures and emotional states jointly act on generation paths of lip and upper body postures and expression modalities, and all modal features are fused and expressed in a unified control space through a collaborative coding and time sequence alignment mechanism. And finally, a high-consistency and high-fidelity virtual human video is generated in real time through an output scheduling mechanism. The method has remarkable advantages in the aspects of modal fusion consistency, generation expression naturalness and emotion control flexibility, and can be widely applied to key scenes such as virtual human broadcasting, voice interaction agency and meta-universe digital identity construction.

The invention discloses a whole course follow-up visit management system for gynaecology and obstetrics patients, and belongs to the technical field of follow-up visit management. Comprising a patient full-period health archive management module, an intelligent personalized follow-up visit planning module, a dynamic risk assessment module, a health monitoring and early warning module, a personalized health guidance module, a remote intelligent monitoring emergency intervention module and a doctor-patient interaction remote cooperation module. The non-tampering and traceability of data are realized, unstructured data are converted into structured fields through natural language processing, the data utilization rate is improved, the block chain is encrypted through a national cryptographic algorithm, IPFS distributed storage and intelligent contract authority management are realized, a patient can authorize a medical institution to access data through a digital identity label, cross-institution seamless circulation is realized, and the medical institution can access to the medical institution. The repeated examination rate is obviously reduced, and the medical efficiency and the data security are improved.

This system provides a computerized method for executing a legally binding digital, comprising: creating a unique tokenized representation of the Pactvera using a non-fungible token standard; embedding a payment value or digital consideration into said token; verifying parties to the Pactvera through biometric authentication and decentralized identity (ChainIT ID) validated against an authoritative source; recording the Pactvera Validation with metadata including time, location, device ID, age verification, and jurisdiction; recording immutable authorship and origin metadata of the Pactvera, including verification of the creator and presenter through Pactvera Validation; validating the original token instance and execution context via a Business Rules Engine (BRE); and releasing payment or conditional consideration via smart contract upon satisfaction of predefined conditions. The invention further enables integration with electronic recording systems for real property transactions in compliance with the Uniform Real Property Electronic Recording Act and produces tamper-proof audit trails suitable for litigation and regulatory use.

The invention relates to the technical field of data processing, and discloses a distributed trusted data space construction method and system based on a block chain, and the method comprises the steps: enabling a participant to complete registration under a unique identifier of a data space through a digital identity certificate; dynamically creating a fragment block chain of the data space according to the unique identifier; the participant encrypts structured data and stores the encrypted structured data to the corresponding fragmented block chain to obtain a data block of the structured data; when a data interaction request of the cross-fragment block chain appears, generating a cross-chain verification certificate of the cross-fragment block chain based on zero-knowledge proof; data interaction of the fragmented block chain is completed through the cross-chain verification certificate, and an interaction audit record of the data interaction is generated; periodically aggregating the state hash of the fragmented block chain, and updating the global state snapshot under the unique identifier; according to the invention, the security of the trusted data space can be improved.

The invention provides a process exception detection method and device, equipment and a storage medium, relates to the technical field of computers, and is used for accurately performing exception detection on a process. The method comprises the following steps: acquiring identity information, current behavior data and a first digital identity signature of a process to be detected; the first digital identity signature is generated based on identity information and historical behavior data; performing verification based on the identity information, the current behavior data and the first digital identity signature, and determining a signature verification result; based on the current behavior data, determining a behavior deviation degree of the to-be-detected process; the behavior deviation degree is used for representing the deviation degree of the behavior of the to-be-detected process relative to a normal behavior baseline; determining an anomaly detection result of the to-be-detected process according to the signature verification result and the behavior deviation degree; the anomaly detection result is used for indicating whether the to-be-detected process is abnormal or not.

The invention provides a multi-agent cooperative behavior evidence storage and credible auditing method and system, and the method comprises the steps: firstly, creating a unique on-chain digital identity for each AI Agent through a decentralized identity technology, and binding historical reputation data; decomposing a complex task submitted by a user and encoding the complex task into an intelligent contract to define a task process, a cooperation rule and a reward and punishment mechanism, and storing key behaviors of each Agent to a block chain in a transaction form when the Agent executes the task; and finally, automatically propelling a cooperation stage based on the state machine logic of the intelligent contract, and triggering a built-in arbitration logic to process an abnormal condition when a dispute occurs. According to the method, the problems of trust missing, non-auditing of behaviors and difficulty in value distribution in multi-Agent collaboration are solved, and the method has the characteristics of high collaboration credibility, high process traceability and fair and automatic value distribution.

The invention discloses a system and a method for tracing a whole process of power grid engineering regulation, construction and operation based on a block chain, and relates to the field of process tracing, and the method comprises the steps: carrying out the life cycle management through six core stages, generating a unique digital identity identifier, and anchoring the block chain. And the Internet of Things equipment collects data, generates data fingerprints through encryption and hash, and writes the data fingerprints into the block chain. And verifying the data integrity and compliance by using the threshold condition of the intelligent contract preset stage conversion, and automatically triggering the operation of the next stage. A data block aggregation hash tree is generated through a Merkel tree, and a double cross index structure is created in combination with a timestamp. During query, the data block is positioned based on the digital identity identifier and the double index structure, and a traceability path map is generated. The method has the advantages that the transparent management of the whole life cycle of the power grid project is realized through the block chain technology, the data security is ensured, and the tracing efficiency of the project is improved through the combination of the smart contract and the Internet of Things equipment.

The invention discloses a data fine-grained access control method, system and device and a medium, mainly relates to the technical field of access control, and is used for solving the problems of identity and attribute separation, low strategy updating efficiency and insufficient auditing capability in the existing scheme. Comprising the steps that a data user generates a distributed digital identity document containing at least one role attribute through a distributed digital identity system, and the distributed digital identity document is subjected to uplink storage after being audited by a registration mechanism; the data provider generates an ABE private key according to the main public key and an access control strategy, encrypts the ABE private key by using the DID public key of the data user, and sends the encrypted ABE private key to the data user; the data user obtains an ABE private key by using the DID private key; decrypting the ABE ciphertext on the block chain by using the ABE private key to obtain a symmetric key; and obtaining the original data in the trusted data space through symmetric key decryption.

The invention discloses a one-code interconnected city governance optimization method and system based on space-time identification. According to the method, city grids are dynamically divided based on city granularity requirements to obtain city networks, scene semantic annotation is performed based on space-time attitude parameters of the city grids and moving tracks of entities in the city grids, and digital identity codes are distributed to the entities based on scene semantic annotation results and time dimensions of the city grids; events in each city grid are dynamically processed based on a scene semantic annotation result, data cleaning is carried out based on abnormal screening parameters of historical city operation data, and early warning is carried out based on the cleaned historical city operation data and real-time city operation data; the corresponding entity information is updated in real time based on digital identity code scanning, the entity information is fused through the digital identity codes, a city operation holographic portrait is generated and output, and a novel data-driven, dynamically-optimized and holographic visual city governance mode is constructed.

The invention discloses a global integral right and interest intelligent matching system and method based on a digital identity atlas, and relates to the technical field of integral application. Comprising a digital identity construction module used for collecting data, forming a digital identity map, dividing a user node set into logic partitions according to a source domain, and generating a partition envelope boundary in each logic partition; the joint positioning module is used for extracting cross-domain nodes existing in different logic partitions, generating joint positioning identifiers and labeling the joint positioning identifiers in edge connection of the digital identity atlas; the multi-stage collaboration module is used for calling a joint positioning identifier, performing linkage adjustment on partition envelope boundaries in the logic partitions to form multi-stage envelopes, performing collaboration matching on integrals inside and outside the logic partitions according to an integral track of a user, and outputting a matching result; the evolution tracing module is used for writing the matching result into the digital identity atlas and correspondingly updating the evolution chain of the multi-level envelope; and establishing a retrospective index of the integral through an evolution chain.

The invention provides an intelligent engineering progress tracking method and system based on the Internet of Things, and relates to the technical field of engineering progress tracking, and the method comprises the steps: binding digital identities to construction members and construction equipment; executing multi-source data acquisition on an Internet of Things sensing layer based on the digital identity label; the construction activity is recognized through multi-source data semantics, and the execution state corresponding to the construction activity is judged; performing progress deviation calculation according to the execution state and the project progress; according to the deviation magnitude of the progress deviation and the job category, generating a scheduling suggestion; and outputting the scheduling suggestion to the construction equipment to dynamically adjust the project progress. According to the invention, the technical problem of poor engineering progress tracking efficiency in the prior art can be solved, and the technical effect of improving the engineering progress tracking efficiency is achieved.

The present invention relates to the domain of digital identity verification and presence verification. More particularly the invention provides identity verification methods and systems for verifying the identity of an individual associated with a trusted credential or a trusted credential data object. The trusted credential is stored on or is accessible at or through a user device—and has been generated by a trusted credential system that is distinct from (and that is located remotely from) the user device, while simultaneously verifying in real time, the live presence of the individual associated with the trusted credential, at the user device.

The invention relates to the technical field of power equipment management, in particular to a digital low-voltage cabinet full life cycle data management method and system, and the method comprises the steps: distributing a global unique digital identity identifier for a low-voltage cabinet and key components, and constructing a standardized digital mapping model based on an OPCUA framework; gathering full-process multi-source heterogeneous data to a cloud edge collaboration platform by taking the digital identity as an index to form a data consanguinity chain; creating a digital twinborn body, dynamically updating the model through real-time data and iteratively calibrating parameters; carrying out abnormity identification, health assessment and residual life prediction by using an AI algorithm, and generating an operation and maintenance instruction; and feeding back the instruction to an upstream system. According to the method, a data island is broken, predictive maintenance is changed into full-period optimization, and the equipment safety and the operation efficiency are improved.

The invention provides a city Internet of Things equipment digital identity generation method and system, and belongs to the field of Internet of Things, and the method comprises the steps: S1, based on the digital demands of various industries of a city, defining the rules of Internet of Things equipment identification, and generating a triple of the Internet of Things equipment identification; s2, performing security guarantee on the triple by using an asymmetric encryption algorithm and a dynamic authority control method; and S3, based on the rule and the mechanism, realizing credible binding of the device identity by adopting a lightweight encryption protocol, and generating a digital identity containing identification registration, analysis and authentication functions by adopting a distributed storage technology. The city Internet of Things equipment digital identity code with uniqueness, traceability and tamper-resistant capability generated by the method can be used for supporting credible interconnection and security collaboration of the city Internet of Things.

The invention provides a distributed digital identity data processing method. The method comprises the following steps: acquiring a first public and private key pair; generating first distributed digital identity data according to a first public key in the first public-private key pair and the distributed digital identity type; creating a unique asset identifier and a chain account address through the first public and private key pair; associating the unique asset identifier, the chain account address and the first distributed digital identity data; and uploading first data marked by the first distributed digital identity data to a block corresponding to the chain account address, and carrying out marking storage by using the unique asset identifier. According to the distributed digital identity data scheme, multiple types of entities can be marked by using distributed digital identity types, and complex entity identification requirements of scenes such as the Internet of Things, the meta universe and e-commerce social contact are met.

The invention belongs to the technical field of block chains, and particularly relates to an alliance chain efficient atomicity cross-chain interaction method and system based on distributed digital identities. The method comprises the following steps: deploying a cross-chain contract and a cross-chain gateway for alliance chains, and establishing a cross-chain channel between the alliance chains based on the cross-chain contract and the cross-chain gateway; and carrying out cross-chain asset transfer, cross-chain information transmission and cross-chain smart contract calling based on the established cross-chain channel. According to the alliance chain cross-chain interaction method based on the decentralized identity identification, interaction tasks such as cross-chain asset transfer and message passing can be safely and efficiently processed, and cross-chain intelligent contract asynchronous calling with atomicity guarantee can be executed. The historical consensus nodes are tracked through the DID technology, the dependence on a third party is reduced in the cross-chain operation, the decentralization level of the system is further improved, the safety and reliability of the system are remarkably enhanced, and meanwhile the cross-chain interaction efficiency is improved.

The invention discloses a control system and method for capacity expansion of an energy storage power supply, and particularly relates to the technical field of electric energy storage, and the system comprises a self-adaptive equipment recognition module, a communication protocol module, a power supply capacity expansion power data collection module, a capacity expansion circulation loss control module, a power supply capacity expansion health degree evaluation module, and a power supply capacity early warning module. When a newly added battery module is connected with an energy storage system, a digital identity of the newly added module is established, a communication protocol is switched, based on monitoring power data of each battery module line, the battery health degree is calculated, the battery module with a poor health state is screened out, the life loss amount is calculated, the remaining life is further predicted, and a secondary capacity expansion instruction is triggered. Seamless data interaction between the newly-added battery module and the system is ensured through detection and adaptation, the high-reliability communication requirement in an industrial energy storage scene is met, coupling of loss control and health management is achieved, and intelligence of capacity expansion decision is improved through accurate residual life prediction.

The invention discloses a digital trust service system supporting a cross-industry multi-scene authentication requirement, particularly relates to the field of digital identity authentication, and is used for solving the problem that a policy rule cannot be effectively bound and executed in a cross-domain path due to the lack of unified constraint of a communication protocol layer in an existing certificate intercommunication mechanism. According to the method, strategy meta-information is packaged through a strategy binding module to form a strategy accompanying packet which is bound with a certificate homologous signature, a session evaluation module carries out handshake negotiation to generate a confirmed context, and a path verification module verifies the signature along a path, revokes a snapshot and writes an audit track. The verification execution module executes the disclosure rule according to the context to generate a feedback result, and the evolution registration module updates the evaluator and the cutting strategy to register the trust registry according to the feedback. According to the system, cross-domain cooperation consistency and traceability are ensured, and the supervision implementation efficiency is improved.

The invention discloses a drug inspection information sharing method and system based on a block chain, and relates to the technical field of drug inspection data management, and the method comprises the steps: sending an authentication request to a block chain network when a drug inspection device is started, verifying the state of the device according to a device digital identity certificate after an intelligent contract receives the authentication request, and sending the verification result to a server; generating a temporary operation token, encrypting the temporary operation token by using the equipment public key and returning the temporary operation token to the medicine inspection equipment; the medicine inspection equipment performs medicine inspection through the temporary operation token, synchronously acquires inspection data, a GPS position, an inspection timestamp and an equipment fingerprint, calculates a composite hash value, and encrypts the inspection data; and submitting the composite hash value to a block chain network, performing space-time compliance verification through an intelligent contract, obtaining a drug batch DID, and generating an on-chain block associated with the drug batch DID. According to the invention, the identity credibility of the medicine inspection equipment is ensured, and the authenticity, integrity and time-space consistency of inspection data are realized.

The invention provides an electrolytic aluminum product carbon footprint management method, system and device based on a block chain, and belongs to the technical field of industrial energy saving. The method comprises the following steps: constructing a carbon footprint management platform based on an alliance chain architecture, and inviting industrial chain related parties as nodes to join a block chain network; the method comprises the following steps: deploying sensor equipment in an electrolytic aluminum full life cycle link, acquiring carbon footprint data in real time, and transmitting the data to a carbon footprint management platform through an encryption channel; generating Hash values from the transmitted carbon footprint data by using a block chain Hash encryption algorithm, storing the Hash values in each node, and storing the carbon footprint data in a local encryption database; deploying an intelligent contract on the block chain, presetting a carbon footprint accounting rule, a data verification logic and an abnormal early warning mechanism, and performing automatic management on the carbon footprint data; and on the basis of a block chain digital identity authentication technology and on the basis of the types of the industrial chain related parties, allocating differentiated permissions to the industrial chain related parties corresponding to the nodes, and performing secure sharing on the carbon footprint data.

The invention relates to the field of tool management, and provides a coal-fired power plant tool intelligent management method and system. The method comprises the following steps: carrying out digital identity construction on a purchasing tool to obtain a tool digital identity file comprising a unique identification code of the tool; constructing a tool circulation record based on the tool digital identity file, and obtaining a block chain traceability record; monitoring an inventory tool state through the block chain traceability record to obtain a tool behavior baseline model; based on the tool behavior baseline model, attenuation prediction and maintenance scheduling are carried out on an inventory tool, and a tool health attenuation trend prediction result and an optimal maintenance scheduling scheme are obtained; and performing decision analysis based on the optimal maintenance scheduling scheme to obtain a tool management decision instruction set. According to the method and the system, non-tampering recording of tool full-life-cycle data, accurate health state prediction and scientific decision support are realized, and the management efficiency and the data credibility are improved.