821 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.

A method for conditioning and maintaining power with predictive load compensation using an uninterruptible power supply system is disclosed. The method includes measuring an electrical input from a primary power supply using analog sensors and transmitting the input through an impedance to introduce a controlled delay. During the delay, input parameters and downstream system effects are determined based on telemetry sensor data. Digital identities are generated for the electrical input and the downstream load and compared to a stored digital identity representing historical conditions. Using the comparison, a system simulation is performed with analog twinning to predict downstream system responses. The predicted response is used to adjust a power converter parameter, modifying the electrical input to an intermediate output that compensates for voltage fluctuations and harmonic distortions. A secondary power supply with a bidirectional high-discharge battery supplements or stores energy as needed, ensuring stable power delivery to the downstream load.

The invention discloses a digital asset secure transaction system and method based on a block chain, and belongs to the cross field of block chain technology and financial science and technology. The system adopts a layered architecture design and comprises an intelligent contract execution layer, a distributed account book storage layer and a cross-chain interaction layer. The transaction method comprises the following steps: generating a digital identity certificate based on asymmetric encryption, and realizing privacy protection through zero-knowledge proof; a secure transaction channel is constructed by adopting a multi-signature mechanism, and sensitive data processing is performed in combination with a trusted execution environment; and designing a dynamic fragmentation strategy to optimize the transaction throughput, and establishing an on-chain and off-chain collaborative verification mechanism. The innovation point is that a double-layer verification model combining a verifiable delay function and a threshold signature is provided, and millisecond-level confirmation is realized while the transaction irreversibility is ensured. The system supports multi-chain asset atomic exchange, and interoperability of different block chain networks is realized through a heterogeneous cross-chain gateway. The scheme has the characteristics of high transaction confirmation speed, high privacy protection level and high system expansibility.

The invention relates to the technical field of big data, in particular to a cloud computing-based tumor early screening data sharing platform construction method and system. The sharing platform construction method comprises the following steps: carrying out association modeling on multi-dimensional early screening data by adopting a knowledge graph technology; encrypting the sensitive field of the metadata index database, and synchronously generating an irreversible anonymous identifier to replace the original identifier; partitioning and arranging the metadata index database in a distributed storage system corresponding to a cloud platform according to tumor types, and performing cross-region redundant backup by adopting an erasure code technology; and constructing an access control smart contract based on a block chain technology, verifying the qualification of a requester through a digital identity authentication module, and after verifying the validity of a digital certificate of the requester, dynamically decrypting and transmitting a data copy conforming to an authority level. Through organic fusion of the knowledge graph, the encryption technology, distributed storage and the block chain, a safe, efficient and reliable tumor early screening data sharing platform is constructed.

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 relates to the technical field of data processing, and discloses a comprehensive management method and system for a smart park, and a storage medium. The method comprises the steps that environment, energy consumption and people flow data are collected through the Internet of Things, and a basic data set is obtained through edge node processing and semantic alignment; constructing a digital twin system by using a spatio-temporal data cube and a graphical mode; constructing a land digital identity system by adopting space-time coding and block chain technologies; performing anomaly identification and risk analysis on the activity data to obtain supervision early warning data; performing multi-dimensional analysis on the enterprise operation data to form an enterprise portrait; and presenting resource distribution through mixed reality, and analyzing cross-department data to obtain operation efficiency data. According to the invention, holographic perception, intelligent supervision and cooperative service of park elements are realized.

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 a distributed trusted virtual human identity authentication system and method based on a block chain, and the system comprises a distributed digital identity system which is used for obtaining user entity identity information registration data, verifying the identity of a user entity, and carrying out the digital identity creation of a virtual human corresponding to a current user entity, generating a distributed digital identity of the target virtual person, and supporting query verification and authorization management of the digital identity of the virtual person; the virtual human digital identity registration system is used for registering a distributed digital identity of a target virtual human corresponding to the current user according to target digital identity registration information obtained when the virtual human digital identity is created; and the digital certificate authentication center is used for responding to the digital identity certificate request of the target virtual person and respectively sending a target digital identity certificate corresponding to the identity of the target virtual person to the distributed digital identity system and the virtual person digital identity registration system, so that the problems of virtual person identity determination and right confirmation are effectively solved.

The invention relates to a network security protection method and system based on a block chain, and aims to solve a series of challenges of identity authentication single-point failure, insufficient static block chain fragmentation, threat detection limitation, encryption algorithm security problem and the like in the existing network security protection technology. According to the method, an on-chain digital identity is generated by fusing an equipment unique identifier and user biological characteristics, dynamic authority management is performed based on the identity, network traffic is detected in real time by using a deep learning model of adversarial training, a threat detection result is generated, an authority level is updated according to the detection result through an intelligent contract, and meanwhile, the user experience is improved. A fragmented block chain network technology is adopted, the number of sub-chains is dynamically adjusted according to a network load, cross-chain threat intelligence synchronization is realized through a relay chain, in addition, a threshold signature and zero-knowledge proof technology is also adopted, permission change records and cross-chain data are encrypted and verified, the security and privacy of the data are ensured, and the security and privacy of the data are improved. According to the invention, the efficiency and reliability of network security protection can be effectively improved, and a safer and more reliable network environment is provided for users.

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.

A method and computer-implemented process for identifying behavioral anomalies and risk factors is disclosed. The method includes (A) obtaining, by a risk assessment module, first data associated with activity information of a digital identity with respect to a digital development tool; (B) associating, by the risk assessment module, second data with a first risk tag based on a risk-anomaly matrix; (C) generating, by the risk assessment module, a first predicted anomaly using a machine learning module trained using a first training set, wherein the first training set comprises the second data and the first risk tag; (D) associating, by the risk assessment module, the first predicted anomaly with a second risk tag based on the risk-anomaly matrix; and, (E) transmitting, by the risk assessment module, a notification associated with at least one of (i) the anomaly and (ii) the predicted anomaly, and the digital identity.

The invention provides a seed packaging bag AI intelligent anti-fake traceability management system and method, and relates to the field of household kitchens. The AI intelligent anti-fake traceability management system for the seed packaging bag comprises an intelligent anti-fake packaging bag which is provided with a natural random physical texture layer, a dynamic optical structure layer covering the natural random physical texture layer and an encrypted identifier storing a digital identity (DID), and the microstructure of the natural random physical texture layer forms a uniqueness feature which cannot be copied. The dynamic optical structure layer generates a variable optical effect during physical interaction. Unique biological fingerprints are formed through microcosmic random textures of a packaging base material, the optical variable effect of a microlens array is overlaid, each packaging bag has the unclonability of the physical level, and in combination with dynamic comparison of a multi-mode AI engine on real-time texture features and block chain anchoring initial values and optical living body frequency analysis, the non-clonability of the packaging bag is improved. And a three-dimensional verification closed loop which is difficult to break by a counterfeiter is realized.

The invention belongs to the technical field of network security, and discloses an encrypted enterprise network data security access method and system, and the method comprises the steps: constructing a biological recognition unit and an equipment binding unit, recognizing multi-dimensional biological data through the biological recognition unit, and carrying out the identity authentication of a user through the combination of a dynamic token generation time binding mechanism; the equipment binding unit associates the identity authentication result with the hardware fingerprint of the security access terminal to generate a digital identity certificate; a basic key is generated and updated in a rolling mode through a quantum random number generator; dual protection is carried out on the multi-dimensional biological data through a hierarchical encryption unit, the hierarchical encryption unit comprises an application layer and a transmission layer, the application layer adopts an SM4 algorithm to encrypt service content data in the multi-dimensional biological data, and the transmission layer adopts an SM2 algorithm to generate a session key to carry out forward secrecy; the security access of enterprise network data is ensured, and the security protection capability of the enterprise network is comprehensively enhanced.

The invention discloses a food production traceability management system based on a block chain, which belongs to the field of food management systems, and is characterized in that a unique identifier ID of an inheritor is generated based on an SHA-256 Hash algorithm, a Merkle tree root Hash value of food production data is dynamically associated, a non-tampering digital identity file is constructed, a data island of traditional decentralized management is broken through, and the traceability of food production is improved. According to the technical scheme, full-chain credible association between the non-abandoned technology and the production process is ensured, validity of an electronic signature is automatically verified by means of an intelligent contract, data tampering or identity failure risks are recognized in real time by comparing a public key decryption result with a signature hash value, JSON format alarms are pushed by means of Apache Kafka message middleware, cross-department collaborative response is achieved, and the security and reliability of the electronic signature are improved. The risk prevention and control efficiency is remarkably improved, encryption signature is performed in combination with an ECDSA key pair of a hardware security module, strong binding of an inheritor identifier, a production batch and equipment is ensured, identity fraudulent use or qualification counterfeiting is prevented, and traceability of the whole life cycle of non-abandoned skill inheritance is achieved.

The technical solution aims to verify digital identity and more particularly to verify digital identity by online proofing.A method for detecting anomalies in identity verification performed by a processor comprises the following steps (FIG. 1, FIG. 2): receiving an identity verification request comprising image data (10), wherein the image data contains a person's face; generating an image data descriptor (11) using a model (20) configured to determine a set of visual features not associated with the person's face in the input image data (10); searching for image data descriptors similar to said generated image data descriptor (11) among image data descriptors belonging to other identity verification requests; in response to finding at least one similar image data descriptor, marking said identity verification request as anomalous, otherwise marking the request as not anomalous.

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.

Systems and methods for verifying an applicant. An example method includes, receiving, from a user device, an application that includes an identifier associated with an applicant; determining a digital profile for the applicant based on the identifier, processing the digital profile through an assessment model to determine a metric for the applicant; and providing, to the user device, validation data for the application based on the metric for the applicant.

The invention discloses a digital identity verification method and device based on a zero-trust architecture, terminal equipment and a storage medium, and belongs to the field of network security, and the method comprises the steps: obtaining an identity verification result according to user information and multi-factor identity verification information; according to the identity verification result, generating a session token and creating a session; collecting behavior data, equipment fingerprint data and geographic position data of the user during the session in real time, and dynamically adjusting the access authority stored by the session token according to the behavior data, the equipment fingerprint data and the geographic position data; each time a request sent by a client is received, the zero-trust architecture gateway determines the current session state of the server by verifying the current session token. Therefore, through the implementation of the invention, various identity authentication technologies can be organically integrated, continuous identity authentication under a zero-trust architecture is realized, and the security of digital identity authentication is improved.

A system for an automated real-time digital identity verification based on predictive analytics of user identity data, including a processor of a digital identity verification (DIV) node configured to host a machine learning (ML) module and connected to at least one verifier entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire an identity verification request associated with a user from the at least one verifier entity node, wherein the identity verification request comprising user biographic data and a truncated facial biometric hash extracted from a digital identity feature embedded into an identification document of the user and user biographic data acquired from the identification document and a facial biometric hash generated from the user identification document; parse the identity verification request to derive a plurality of key features; generate at least one feature vector based on the plurality of the key features; and provide the at least one feature vector to the ML module configured to execute a predictive model based on underlying neural network configured to produce at least one user identity verification parameter for generation of a user identity verification verdict.

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 discloses a dynamic NFT-based attribute-based encrypted medical data sharing method, which comprises the following steps that: firstly, a user submits identity authentication information to a trusted digital identity platform, and applies for an attribute certificate from an institution to which the user belongs; secondly, the key management system completes system initialization and generates a master key and a public key, the medical data owner generates an attribute-based encrypted ciphertext according to the access strategy and casts a dynamic NFT according to the smart contract, and when the medical data demander conforms to the access strategy, the medical data owner issues a sub-NFT of the dynamic NFT to the medical data demander through the smart contract; and then the medical data demander applies for a master key from the key management system and decrypts the ciphertext. And finally, the medical data owner changes the access strategy and re-judges whether the medical data demander conforms to the access strategy. According to the invention, the data access control does not depend on a fixed strategy any more, and the controllability and security of the data access control are enhanced.

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 data circulation trusted system and device based on a block chain and privacy calculation, and relates to the technical field of trusted data. Comprising a data supply end, a data demand end and a credible supervision end, the data supply end comprises a digital identity identification module which is used for generating a dynamic digital identity according to an enterprise unified social credit code and an ISO industry classification code and submitting the dynamic digital identity to a first block chain of the credible supervision end for authentication; the mixed desensitization module is used for carrying out first 3-bit plaintext reservation and hash replacement on the sensitive field by adopting an AES-256 algorithm, binding a UTC timestamp to generate a desensitization record and uploading the desensitization record to a first block chain; and the zero-knowledge proof generation module is used for converting the privacy calculation result into a zero-knowledge proof voucher and pushing verification parameters to a sandbox environment of the data demand end. According to the invention, the security and privacy of data in a circulation link and the credibility of transactions are guaranteed, and the problems of privacy leakage, uncredible transactions, difficult supervision and the like possibly existing in data circulation are solved.

The invention discloses a security protection transaction settlement method based on artificial intelligence, and relates to the technical field of block chain transaction settlement, and the method comprises a transaction data processing link, a block chain entrance node verifies the authenticity of a digital identity, transmits the data to an MPC environment, completes the validity verification through privacy protection calculation, triggers the operation of an intelligent contract, and carries out the transaction data processing. The intelligent contract constructs a behavior graph based on historical transaction data and a real-time verification result by using a graph neural network GNN model, the transaction risk is dynamically evaluated through a feature aggregation mechanism, and the behavior graph captures a dynamic relationship between transaction participants, so that the recognition effect of abnormal behaviors is improved; meanwhile, high-risk transactions are fed back to an MPC environment in an encryption mode to be further optimized, privacy protection and risk assessment are deeply fused, a risk prediction result and a behavior map are transmitted to a block chain consensus node, and the consensus node dynamically adjusts a verification strategy based on a high-risk node set and a transaction relationship to strengthen prevention and control capability.

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.

A system is provided to leverage blockchain for a Multi-Signed Certificate-To-Identity (MSC-To-IT) system using a distributed approach to allow end users to have greater control over their digital identities and cryptographic keys. The system can manage cryptographic keys in a distributed network. The system can include a plurality of nodes configured to participate in a blockchain network. The system can include a key generation module, operable on at least one of the nodes, to distribute generation of cryptographic keys using a threshold scheme, where the cryptographic keys can include a public key and a private key share for each participating node.

Disclosed are various embodiments for relationship verification using digital identities. A computing device can receive a request to link a first user profile with a second user profile, the request including at least a first user decentralized identifier (first user DID) associated with the first user profile and a second user decentralized identifier (second user DID) associated with the second user profile. Next, the computing device can obtain a verifiable credential (VC) claiming a relationship between the first user DID and the second user DID and verify the relationship between the first user DID and the second user DID based at least in part on the VC. Then, the computing device can link the first user profile and the second user profile.