1427 results about "Authentication system" patented technology

The present disclosure relates to a blockchain-based authentication system for electric vehicles and drones, and a method for authenticating electric vehicles or drones in a smart city. The proposed blockchain-based authentication system enhances security, privacy, and scalability for electric vehicles (EVs) and drones in smart city environments. It employs a consortium blockchain managed by city authorities and stakeholders, utilizing smart contracts for identity registration, credential issuance, and access control. Device nodes store cryptographic keys securely, while an optional authentication server facilitates off-chain integration. The authentication operation of the system includes, ensuring tamper-proof identity verification through on-chain validation. Authentication attempts are immutably recorded for auditing and anomaly detection. By eliminating single points of failure and strengthening data privacy, this decentralized authentication framework offers a scalable and secure solution for integrating EVs and drones into smart city infrastructures.

A computer-implemented method and system for privacy-preserving location verification in distributed networks comprises initializing a multi-modal biometric authentication system on a user device, generating cryptographic keys using a distributed key generation protocol, binding the cryptographic keys to biometric templates using a fuzzy vault scheme, constructing and broadcasting encrypted location beacons, and generating zero-knowledge proofs of location claims. The system includes user devices equipped with biometric sensors and verifier devices configured to validate location claims and maintain consensus in a blockchain network. The method implements real-time liveness detection for multiple biometric input types, executes fault-tolerant consensus algorithms with privacy preservation, and maintains a dual-scoring mechanism comprising device trust scores and user reputation scores. The system enables secure location verification while preserving user privacy through cryptographic protocols and biometric authentication in decentralized environments.

Methods and systems are presented for using blockchain technologies to manage the life cycle and authentication of artificial intelligence (AI) agents. When an AI agent is created, the AI agent registers itself with an authentication system. The authentication system creates identity information for the AI agent and store on a blockchain. The identity information is used to track the changes of the AI agent through its life cycle, including upgrading of the binary code, transfer of ownership, change of a delegator, and others. When the AI agent requests for access of one or more resources, the authentication system uses the information stored on the blockchain to authenticate the AI agent before granting the AI agent access to the one or more resources.

Methods and systems are presented for using blockchain technologies to manage the life cycle and authentication of artificial intelligence (AI) agents. When an AI agent is created, the AI agent registers itself with an authentication system. The authentication system creates identity information for the AI agent and store on a blockchain. The identity information is used to track the changes of the AI agent through its life cycle, including upgrading of the binary code, transfer of ownership, change of a delegator, and others. When the AI agent requests for access of one or more resources, the authentication system uses the information stored on the blockchain to authenticate the AI agent before granting the AI agent access to the one or more resources.

The invention relates to the technical field of data encryption and transmission, in particular to a power grid cross-domain operation and maintenance data secure transmission method and system based on encryption, and the method comprises the steps: pre-judging a current risk through a historical network security event, dividing a network environment into different risk intervals based on a risk level evaluation value, encryption strategies with different intensities are correspondingly matched, so that refined security management and control with higher risk and stronger protection are realized; a triple progressive identity authentication system of an equipment layer, a dynamic layer and a biological layer is constructed, a dynamic permission management and control mechanism driven by identity attributes and risk levels is constructed, a basic permission boundary is determined based on inherent identity attributes of an operation and maintenance terminal, and permission strength and validity period are dynamically adjusted in combination with a risk level evaluation value. And finally, generating an access control strategy only adapted to the current terminal, the current risk and the current access request, so as to perform data encryption and transmission through the target encryption strategy and the access control strategy, thereby ensuring the security of data transmission.

A digital healthcare architecture including a cloud-based virtual clinic platform configured to facilitate remote therapy of one or more patients based on biometric authentication systems and methods. In an example arrangement, one or more biometric indicia of a user (e.g., a clinician and / or a patient) as well as one or more non-biometric input factors may be used in authenticating the user prior to granting access to a protected resource or application (e.g., a therapy application executing on a UE device) configured for effectuating remote programming of an implantable medical device (IMD) operative to provide therapy to the patient.

The invention relates to the technical field of feature recognition, in particular to an authentication method and system for recognizing user identity based on brain wave features. The method comprises the following steps that EEG equipment is used for collecting electroencephalogram signals of a user under a preset cognitive task, and sample encryption is conducted on the electroencephalogram signals through encrypted data; noise baseline calibration is conducted on the electroencephalogram signals, standard electroencephalogram signals are generated, and electroencephalogram sample AES encryption processing is conducted; performing corresponding adversarial sample generation on the standard electroencephalogram signals through an adversarial generative network; performing electroencephalogram confusion feature injection on the standard electroencephalogram signals by applying a space-time dynamic masking strategy to obtain electroencephalogram confusion injection features; and performing adversarial dynamic feature enhancement training on the electroencephalogram confusion injection features by using the generated corresponding adversarial samples, and generating an adversarial test result. According to the invention, through noise calibration, adversarial sample generation, feature enhancement training and block chain technologies, the accuracy, anti-interference capability and security of the identity authentication system based on brain waves are improved.

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 an anonymous identity authentication method and device, electronic equipment and a storage medium, and relates to the technical field of anonymous identity authentication or other related fields, and the method comprises the steps: obtaining a public key set containing a trusted user public key, and extracting a local private key of a target anonymous user; a ring signature is generated based on the public key set and the private key, certification information is generated based on the private key and the ring signature, the ring signature is used for certifying that the target anonymous user belongs to one of trusted users, and the certification information is used for certifying that the ring signature is legal; packaging the ring signature, the certification information and the timestamp identifier into an authentication request, submitting the authentication request to an authentication system, and returning an authentication result; and obtaining an identity authentication token indicating that authentication passes in the authentication result, and logging in the authentication system based on the identity authentication token. According to the method and the device, the technical problem of identity authentication failure caused by information leakage and unreliable authentication due to the fact that security attacks are easily encountered in the identity authentication process in related technologies is solved.

The invention discloses an X86 industrial control mainboard identity authentication system based on multi-mode fusion, which relates to the technical field of mainboard identity authentication, and comprises the following steps: acquiring a secret key, generating a dynamic hardware fingerprint by combining cache topology and instruction delay, collecting physical unclonable function characteristics of power supply noise and clock jitter, and generating a circuit fingerprint; generating a firmware execution track, recording dynamic behaviors of a call chain and interrupt processing delay, and constructing a firmware runtime feature library; collecting spatio-temporal characteristics, generating environment fingerprints in combination with a geo-fencing technology, capturing time sequence characteristics, and generating a network behavior portrait in combination with a device topological relation; timestamp synchronization is carried out; simulating a fingerprint data tampering attack; and carrying out weighted fusion on the static features and the dynamic features. The hardware feature acquisition module, the firmware behavior acquisition module and the environment feature acquisition module are arranged, and physical unclonability of circuit fingerprints and time sequence features of firmware behaviors are combined, so that attacks are effectively resisted.

Apparatus and associated methods relate to an artwork authenticity owner validation system. In an illustrative example, an artwork remote identification system (ARIS) may include an artwork companion chip (ACC) and a certificate of authenticity (COA). The ACC, for example, may be physically attached to an artwork. The ACC and the COA, for example, may each include a unique identifier. For example, a centralized server may be configured to automatically authenticate an ownership of the artwork attached to the ACC by validating the ACC and the COA. For example, the user may scan the COA and then the ACC within a predetermined time limit to gain access to modify an ownership record in an artwork profile of the artwork. Various embodiments may advantageously allow a modification to the ownership information only when the centralized authentication server validates the COA and the ACC within the predetermined time period.

A system for identity authentication on blockchain using NFTs includes a user interface, an identity NFT minting module, and a verifiable credential issuer module. The user interface allows a user to link a blockchain wallet and a credential wallet to the user interface and to provide an online service ID and requests the user to create signatures using a blockchain wallet private key and a credential wallet signing key. The identity NFT minting module verifies the online service ID and verifies the two signatures using the blockchain wallet address and the DID. The identity NFT minting module mints an identity NFT on a blockchain network, preserving the online service ID, the blockchain wallet address, and the DID in the identity NFT as metadata. The verifiable credential issuer module issues a verifiable credential to the user and triggers the identity NFT minting module for adding credential metadata to the identity NFT.

The invention discloses an encrypted data transmission authentication system based on a security edge gateway, which belongs to the technical field of encrypted transmission, and specifically comprises an edge gateway cluster which is used for collecting traffic operation data in real time and comprises a roadside edge gateway node and a vehicle-mounted edge gateway node; the dynamic trust evaluation model is used for generating a real-time trust evaluation value according to the traffic operation data; mapping an encryption algorithm strength grade according to the trust evaluation value; the closed-loop feedback verification unit is used for performing byte-level comparison on the decrypted data content and the original data content transmitted by the transmitting end, and updating parameters of a dynamic trust evaluation model according to a comparison result; the double-track authentication unit is used for automatically switching to an emergency rapid authentication channel when an emergent traffic event occurs, and automatically switching to a standard authentication channel when the traffic event is relieved; according to the invention, intelligent dynamic balance between the security protection strength and the communication efficiency is realized.

The invention provides a molecular identity authentication system and method based on DNA origami framework layered assembly. The molecular identity authentication system comprises a disclosed skeleton chain and a plurality of shared staple chains, the shared staple chain comprises staple chains shared by three groups of single bodies and staple chains shared in pairs, and the staple chains are used as secret keys to be distributed to three participants so as to prepare the three groups of single bodies respectively, and then the three groups of single bodies are combined and spliced into a tripolymer with a dot matrix pattern, so that multi-user collaborative layered chain type assembly is realized. According to the molecular identity authentication system based on DNA origami framework layered assembly, the system combination complexity is improved to the information theory security level, so that the biological information security protection capability is improved, and brute force cracking is prevented.

The invention relates to an electric power mobile application security protection method based on a swan gap microkernel, which comprises the following steps of: S1, establishing a hardware trust root, and storing a device root key and a certificate chain by utilizing a non-tampering storage area built in a chip; s2, establishing a complete trusted boot chain based on a hardware root of trust, and verifying the integrity and credibility of the next layer by each layer from Bootloader to a swan microkernel and then to an application program; s3, constructing a triple authentication system based on user identity, equipment identity and biological characteristics, and performing user authentication; s4, according to a user authentication result, realizing fine-grained authority control based on an RBAC model and ABAC, and ensuring that authority check can be executed during resource access every time by utilizing an IPC security mechanism of a swan micro kernel; and S5, creating an independent execution environment for each power application according to the process isolation capability of the swan microkernel, and ensuring that memories among the applications cannot be mutually accessed through virtual address space isolation. The reliability of power mobile application safety protection is effectively improved.

A battery authentication system includes a data obtaining unit, a data standardization unit, a code generation unit, a degradation state calculating unit, a degradation state integration unit, and a degradation state providing unit. The data obtaining unit obtains and records time-series battery data including signal values and physical values of a secondary battery. The data standardization unit standardizes the signal values and the physical values. The code generation unit generates a first identification code based on the standardized signal values. The degradation state calculating unit calculates a degradation state of the secondary battery based on the standardized physical values. The degradation state integration unit integrates the first identification code with the degradation calculation result to generate a second identification code. The degradation state providing unit verifies the first identification code based on the second identification code, and outputs the degradation calculation result based on the verification.

This invention is directed to an electronic device with an embedded authentication system for restricting access to device resources. The authentication system may include one or more sensors operative to detect biometric information of a user, The sensors may be positioned in the device such that the sensors may detect appropriate biometric information as the user operates the device, without requiring the user to perform a step for providing the biometric information (e.g., embedding a fingerprint sensor in an input mechanism instead of providing a fingerprint sensor in a separate part of the device housing). In some embodiments, the authentication system may be operative to detect a visual or temporal pattern of inputs to authenticate a user. In response to authenticating, a user may access restricted files, applications (e.g., applications purchased by the user), or settings (e.g., application settings such as contacts or saved game profile).

The invention discloses an Internet of Things equipment credible authentication system based on edge computing and a block chain. The Internet of Things equipment credible authentication system comprises a dynamic position acquisition module, an edge computing layer, a merging module, a dual-channel grading module, a relationship establishment module, a region determination module and an authentication collaboration module, the dynamic position acquisition module is used for collecting parameter information of the Internet of Things equipment, and dividing the Internet of Things equipment with close geographic positions and good signals into the same dynamic area according to the preprocessed parameter information; the parameter information comprises latitude and longitude coordinate information and signal intensity of the Internet of Things equipment. The invention belongs to the technical field of Internet of Things network security, and aims to solve the problems that the overall dynamic adaptability is poor and real-time adjustment cannot be performed according to the dynamic condition of Internet of Things equipment in the prior art. The technical effect is that the problems that the overall dynamic adaptability is poor, and real-time adjustment cannot be carried out according to the dynamic condition of the Internet of Things equipment are solved.

The invention discloses a data access control method and device, and relates to the technical field of cloud computing. The method comprises the steps that an access control strategy for a target data resource is acquired, the access control strategy of the target data resource indicates a target data table, and then in response to an operation request for the target data resource triggered by a user, a resource identifier of the target data resource and a user identifier of the user in the operation request are extracted. Querying a target data table based on the operation request to obtain target permission data having a mapping relationship with the user identifier in the target data table, and if the target permission data comprises the resource identifier, passing the authentication; and if the target permission data does not comprise the resource identifier, the authentication is not passed. According to the method, access control with data as granularity is realized, whether the access authority exists or not is determined by inquiring whether the target authority data comprises the resource identifier or not, and the maintainability of an authentication system and the access control efficiency are improved.

The invention provides an OCR (Optical Character Recognition) and network electronic identity authentication no-certificate comparison information system and device and an inspection method, and relates to the technical field of information security. Firstly, the OCR technology is adopted to recognize certificate characters and upload names and identity cards, face key point data are extracted through a deep learning model, deep feature vectors are output, a local end preferentially queries database electronic identity cards through the names and the identity card numbers, similarity is calculated through a cosine similarity formula, offline authentication is supported, and the face recognition is realized. And if not, network electronic identity authentication is realized through a cloud identity authentication system, and an electronic identity card is returned by calculating the similarity. Meanwhile, based on the track, communication and consumption data, risk indexes are calculated through normalization processing and a weighted summation formula, the risk indexes are compared with a preset risk threshold value to evaluate the risk level, when the audited personnel are evaluated to be high in risk, the track, communication and consumption data are synchronously returned, and identity authentication and risk prevention and control in the non-certified scene are achieved.

The invention relates to the field of network and information security, and discloses a server security authentication system based on block chain trusted computing. Comprising a block chain network, an intelligent contract module, an authentication service module, a verification node and a to-be-authenticated server. The intelligent contract module records a registration index, a certification public key, a policy version number, a baseline commitment value and a revocation state. The authentication service module generates a challenge parameter and a challenge value based on the block height and the block hash digest. The trusted agent module collects a measurement abstract and forms a certification packet, and the trusted root module derives a staging certification key in a protected environment and signs the certification packet. And the verification node reads the data on the chain to complete signature verification, challenge value re-calculation, window verification and compliance proof verification, and generates an authentication bill containing an effective height range for resource access judgment after passing the verification.

The invention discloses a sound authenticity identification method based on multi-modal feature deep interactive fusion. According to the method, a double-flow architecture is adopted, and a pre-trained BEATs model and a CNN14 network are respectively utilized to extract Transform sequence features and convolution time-frequency embedding features of an audio; an adaptive MobileFormer fusion device is innovatively proposed, an original MobileFormer structure used in the image field is transformed into a bidirectional cross-modal interaction module suitable for one-dimensional time sequence audio features, dynamic complementary modeling of local details and global semantic features is achieved through a cross attention mechanism, and dynamic nonlinearity is introduced to activate and enhance the expression ability; and the fused enhanced features are input into a hierarchical graph attention network ASSIST, and high-order semantic modeling and authenticity classification are completed by combining spectrogram and time sequence double-flow reasoning. Experimental results show that the performance of the method on an ASVspoof2021LA data set is superior to that of an existing baseline model. The method can effectively detect AI generation voice, replay attack and other forged voice, and is suitable for a voice authentication system.

A system for digital authentication may include an authentication server. The system may be configured to receive a login request from a user device associated with a user. The login request may include a user identity data element and a login request data element. The system may be configured to retrieve, based on the login request, a supplemental data element associated with the user from a recording server and determine whether the login request data element matches the supplemental data element and in response to a determination that the login request data element matches the supplemental data element: perform an authentication on the user device; configure the user device as authenticated in response to the authentication; and in response to configure the user device as authenticated: configure a first login mode as an authenticated status; and configure a second login mode as the authenticated status.

The invention discloses a block chain digital asset sharing authentication system in the field of graphic design and a use method. The system depends on an alliance block chain network, comprises a user node, a consensus node, a storage node, a verification node and the like, and automatically executes sharing, authentication and transaction logic of digital assets by means of an intelligent contract written by Solidiity. The system is provided with a copyright authentication module, and ensures that the asset copyright affiliation is certifiable through a Hash algorithm and timestamp uplink; the digital asset sharing module supports authority management, adopts encrypted transmission and records transaction information in the whole process. In addition, the system supports multiple platform clients and has the functions of asset management, service ecology establishment and the like. When the system is used, the system needs to be built firstly, and then copyright authentication, sharing and transaction settlement are sequentially carried out. The digital asset protection and sharing problem in the graphic design industry is effectively solved, and healthy development of the industry is promoted.

The invention relates to the technical field of Internet of Vehicles, and discloses a V2X security communication and identity authentication system based on a lightweight block chain, the system comprises a projection early warning end, an angle detection end and a hierarchical color difference end, and the projection early warning end, the angle detection end and the hierarchical color difference end are jointly connected with a voice alarm module; through a distributed verification mechanism of a projection early warning end, a single-point fault risk of a traditional CA centralized architecture is eliminated, through multi-node parallel verification of a digital signature, a malicious instruction is intercepted when a signature abnormity is detected, the problem of malicious certificate propagation caused by paralysis of an authentication center is solved, safety and reliability of an identity authentication system are ensured, and the security and reliability of the system are improved. Through the dynamic positioning correction of the angle detection end, the adaptability to complex road conditions is enhanced, the vehicle communication orientation and the standard position stored in the block chain are compared in real time, when the angle deviation is detected, a deviation correction mechanism is automatically triggered, GPS spoofing attack vulnerabilities in tunnels and elevated scenes are overcome, and the risk of instruction mistaken execution caused by the position deviation is solved.

The invention discloses an intelligent authentication system based on a gateway, and relates to the technical field of intelligent authentication. The system comprises a strategy integration module, an intelligent analysis module, a strategy decision module, a dynamic signature module and an authentication execution module. According to the invention, heterogeneous authentication strategies are uniformly managed through the strategy integration module, the intelligent analysis module carries out real-time risk scoring on access requests, the strategy decision module dynamically generates authentication strategy identifiers according to the risk scoring, the client is driven to generate signatures containing algorithm identifiers through the dynamic signature module, and finally the authentication execution module verifies the signatures and routes according to the signatures. According to the method, the adaptive matching of the authentication logic and the risk context is realized, and the problems that the adaptive capacity of an authentication mechanism in a dynamic risk environment is insufficient and intelligent and gradient authentication response cannot be realized in the prior art are solved.

A third verification factor is introduced into the two-factor authentication process, thereby establishing a robust three-factor authentication system. Specifically, a One-Time Password (OTP) that is typically generated for authentication purposes undergoes an additional layer of security by utilizing the OTP in a data authentication scheme of a user's chip-enabled credit, debit, banking, or similar card. An enhanced OTP generator sends the OTP to the card, which encrypts either the OTP or a value derived from the OTP (e.g., such as a hash of the OTP) with a cryptographic key associated with the card to create an encrypted authentication token. The encrypted authentication token is then provided to the authenticating party. Also described is an enhanced OTP generation device in the form of a passbook.

An authentication system for verifying creation of digital content includes a machine learning classifier configured to analyze data points related to a content creation process, a programmatic rules-based analysis component configured to apply predefined criteria to the data points, and a human-viewable replay component configured to provide a visual representation of the content creation process. The authentication system is configured to determine whether the digital content was created by a human or generated by artificial intelligence (AI) based on outputs from the machine learning classifier, the programmatic rules-based analysis component, and the human-viewable replay component. The data points may include keystroke dynamics, syntax and style analysis, error patterns and corrections, content revision history, behavioral data, content creation timeline, gestures and touch interactions, brushstrokes and drawing patterns, voice and audio analysis, physical interaction with devices, eye tracking and gaze patterns, and biometric data.

A multi-modal verification and authentication system can be used for customer onboarding and repeat customer access / interactions. The multi-modal verification and authentication system provides very low friction, highly secure, verification and authentication system. The multi-modal verification and authentication system is scalable and adaptable to perform serval types of identity verification which results in a high degree of certainty and accuracy for identification and authorization. The multi-modal verification and authentication system includes a multi-modal biometric identifier, a multiple multi-modal liveness detector and a multi-modal anti-spoofing detector used in user registration authentication processes.

A tamper-evident item authentication label may include a substrate layer that includes a first substrate side and a second substrate side, a first adhesive layer, a second adhesive layer, a first unique indicium, a second unique indicium, and a plurality of cuts across the first unique indicium and the second unique indicium extending through at least a portion of a thickness of the substrate layer. The adhesive layers may be deposited on the substrate sides and arranged to fuse the tamper-evident item authentication label with a first and second surface. The first unique indicium may be deposited on the substrate layer and encoding a first unique identifier that links the tamper-evident item authentication label to one or more records in a remote database system. The second unique indicium may be deposited on the substrate layer. The second unique indicium may include a stochastically created visual pattern.