276 results about "User verification" patented technology

A method for authentication tunneling is described. The method includes transmitting an authentication prompt to a client machine via an encrypted channel between a first authenticator application running on the remote machine and a second authenticator application running on the client machine. The authentication prompt may be associated with accessing resources via an identity management system. The method may further include receiving, from the client machine via the encrypted channel, a first authentication response comprising user verification data, an identifier of the client machine, and a first digital signature of the second authenticator application. The method may further include generating, by the first authenticator application running on the remote machine, a second authentication response comprising the user verification data, the identifier of the client machine, an identifier of the remote machine, the first digital signature, and a second digital signature of the first authenticator application.

A multimodal search system is described. The system can receive image data from a user device. Additionally, the system can receive a prompt associated with the image data. Moreover, the system can determine, using a computer vision model, a first object in the image data that is associated with the prompt. Furthermore, the system can receive, from the user device, a user indication on whether the image data includes the first object. Subsequently, in response to receiving the user indication, the system can generate a response using a large language model.

The invention discloses a virtual item processing method and device based on a block chain, equipment and a storage medium, and relates to the technical field of block chains. The method comprises the following steps: receiving a virtual item transaction request sent by a client, wherein the virtual item transaction request comprises a request transaction user of a virtual item, transaction item information, a transaction target user, transaction price information and transaction tamper-proof verification information; respectively verifying the transaction requesting user, the transaction prop information, the transaction target user, the transaction price information and the transaction tamper-proof verification information to obtain a transaction user verification result, a transaction prop verification result, a transaction price verification result and a transaction data consistency verification result; and combining the plurality of verification results to obtain a transaction request verification result, and writing the virtual item transaction request into the block chain when the transaction request verification result is that the verification is passed. According to the scheme, the virtual item transaction request is written into the block chain, so that the security of virtual item transaction is enhanced.

The invention relates to the technical field of network security, and discloses a security vulnerability AI positioning method and system based on log files. The method comprises the following steps: firstly, analyzing user feedback describing open source component security vulnerabilities to extract fault key entity information, screening related log entries based on the fault key entity information, and constructing a vulnerability propagation graph; identifying a vulnerability triggering initial point set by using a graph traversal algorithm and a graph neural network, calling a component vulnerability case library to deduce a vulnerability utilization propagation chain and calculating a matching degree with a known open source component vulnerability utilization chain feature, and obtaining a maximum probability vulnerability utilization propagation chain and an associated vulnerability triggering initial point set; and generating a root cause positioning report, and updating the knowledge base or model training data according to a user verification result. According to the method, the initial vulnerability point and the complete vulnerability propagation chain of the security vulnerability of the open source component can be accurately and efficiently positioned, and the positioning accuracy and timeliness are improved.

Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

The invention discloses a data tamper-proofing method, system and device based on blockchain evidence storage, and a storage medium, relates to the field of data processing, and is used for solving the problems that multi-source heterogeneous data lacks a unified processing scheme and evidence storage verification is incomplete in existing property management. The method specifically comprises the following steps: multi-modal feature processing: extracting text and image data features respectively, and generating a unified feature vector by combining cross-modal attention mechanism weighted fusion; generating a hash value and a block chain evidence, generating the hash value by adopting an SHA-256 function, and generating a dynamic two-dimensional code in an association manner; and user verification: after scanning the two-dimensional code, locally reproducing feature processing and Hash calculation, and comparing a Hash value on a chain through an elliptic curve cryptography technology to complete verification. According to the method, full-process credible evidence storage of the property data is realized, the data tamper-proofing capability and verification convenience are improved, and property scene data management requirements are met.

The invention discloses a man-machine verification method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining verification information of a user, and performing basic verification on the verification information based on a pre-generated verification certificate to obtain a basic verification result; wherein the verification information comprises a user verification behavior sequence; performing man-machine identification on the user verification behavior sequence in response to the fact that the basic verification result is successful verification to obtain a man-machine identification result; and generating a man-machine verification result based on the man-machine identification result, and displaying the man-machine verification result to the user. According to the embodiment of the invention, the verification is carried out by utilizing the user verification behavior sequence in the verification information, so that the user not only needs to recognize the characters, but also needs to understand the sequence, namely, the safety and effectiveness of man-machine verification are further improved by combining character order understanding and sliding behavior characteristics.

A method, apparatus, system, and non-transitory computer readable medium for performing user verification and authentication may include receiving a network request from a client device associated with an online service in response to a user access attempt of the online service associated with a user, the network request including message recipient information for a mobile-terminated (MT) short message service (SMS) message and a unique one-time password or pin (OTP) code associated with the user, calculating at least one first signature based on the network request and a shared secret key, the shared secret key shared with the client device, the at least one first signature associated with the user, transmitting a network response to the client device, the network response causing the client device to transmit a call-to-action (CTA) message to at least one user device associated with the user, and determining a status of the user access attempt.

A QR Code Verification Engine provides a multi-layered security framework for generating, validating, and authenticating QR codes while preventing tampering, fraud, and unauthorized access. The system embeds a hidden security layer within the QR code using steganographic encoding or invisible watermarking techniques, ensuring detection of any modifications. The hidden layer is encrypted using asymmetric cryptography, allowing only an authorized verification system to extract and validate it. An AI-powered tamper detection module analyzes QR codes for anomalies, while cryptographic hash verification ensures integrity. The system employs biometric authentication, push notification approvals, and contextual security measures to enhance user verification. Dynamic QR codes with expiration rules prevent replay attacks. Secure offline verification allows authentication without network connectivity. The system integrates with financial platforms, web security tools, and real-time fraud detection mechanisms, ensuring a highly secure and scalable QR code validation framework for transactions, identity verification, and access control applications.

The invention belongs to the technical field of network security, and particularly relates to a log analysis method using an AI large model, which is applied to a network security monitoring platform and comprises the following steps: acquiring source data of a log file; calling an AI large model in the platform to generate a corresponding regular expression based on the source data; sending the regular expression to the user for verification so as to obtain a final regular expression verified by the user; analyzing the source data according to the final regular expression to obtain an analysis result; and mapping the analysis results of the source data to the corresponding field templates one by one to generate standard log analysis results. According to the method, the regular expressions of the log files are intelligently recognized through the AI large model, efficient and accurate standardized analysis of the log files is achieved, meanwhile, the AI large model is further optimized through the manual feedback result, positive feedback circulation is achieved, and the performance of the AI large model is continuously optimized.

The invention belongs to the field of authorized access, and particularly relates to a multi-brand storage resource authorized access method based on a cloud platform, which comprises node deployment, multi-user interaction authentication, user verification and authorized access. According to the scheme, user equipment nodes are logically grouped and isolated through a distributed edge computing architecture and a multilayer security mechanism design, the trust value is calculated in real time according to the comprehensive authentication success rate, the behavior deviation degree and the abnormal punishment, the access permission is dynamically adjusted to realize trust evaluation, and the parallel authorization process is further realized; parallel authorization of non-dependent nodes is allowed, the node dependency relationship is dynamically analyzed according to services, and efficient, safe and flexible storage resource access control is achieved; by designing a fault-tolerant certificate chain, avoiding a single-point fault blocking process and introducing a distributed consensus algorithm to manage an authorization node list, the consistency of an authorization strategy is ensured, and the method is particularly suitable for a distributed scene with a high real-time requirement.

The invention provides an enforcement notarization whole-process online method and system based on artificial intelligence, and belongs to the technical field of enforcement notarization. Comprising the steps of performing joint verification on user verification data based on a multi-modal biological feature fusion method; extracting key fields of the contract by adopting an NLP semantic analysis method, and performing clause compliance test on the key fields based on a legal knowledge graph and a dynamic rule engine; a contract risk identification algorithm is called to evaluate the repayment capability of the user; an electronic official certificate is generated after contract review is passed, electronic signature is completed based on the dynamic token and the biological characteristics, and real-time chaining and evidence storage are carried out; and monitoring a debt repayment state, and if the debt repayment state is default, automatically generating an execution material and directly submitting the execution material to an interface executor through a forced execution interface. According to the method, on the basis of preventing the data from being tampered, efficient whole-flow online endowment notarization can be realized.

The present invention discloses a grayscale publishing system, belonging to the field of grayscale distribution technology, comprising a webpage content acquisition unit, a user management unit, a webpage management unit, and a distribution unit. The webpage content acquisition unit is used to acquire HTML content; the user management unit is used to log in and verify a user ID, and generate corresponding user verification information for the verified user ID; the webpage management unit is used to switch webpage scenes and webpage states based on the user verification information; and the distribution unit is used to refresh the webpage according to the switched webpage scenes and webpage states, receive HTML content, and distribute the content. The present invention can fully verify user login information, ensuring system security and encrypted data transmission to prevent leakage. The system can switch webpage scenes and webpage states, covering a wider range and providing more options, including grayscale and whitelist modes.

In one embodiment, a method includes accessing query biometric data associated with a verification request for a user. The method further includes applying a transformation to the query biometric data to generate a transformed query template representing the query biometric data and accessing a transformed enrollment template comprising transformed enrollment biometric data of the user. The method further includes determining, based on a scoring function comparing the transformed query template and the transformed enrollment template, a plurality of similarity scores, each similarity score associated with a different value of a scoring parameter; and determining, based on the plurality of determined similarity scores, whether to grant or deny the verification request.

A payment includes: in response to a received payment request message, sending a security verification request message to a security control system, the security verification request message is used to instruct the security control system to perform security verification according to security verification information; receiving security verification result information sent by the security control system; when the security verification result information indicates that the security verification is passed, sending a first notification message to the SDK, the first notification message instructs the SDK to notify the host program to display a user verification page to prompt the user to enter the first user verification input information, the first user verification input information is used for the host program server to perform user verification to obtain user verification result information; when the user verification result information indicates that the user verification is passed, initiating a payment request to complete the payment.

Implementing a user interface for contextual validation of recognized text is described. A server may receive image data representing a document, determine, based at least in part on the image data, a type of the document, recognize a text element included in a portion of the document, and determine a point in a data validation process that is associated with the type of the document and / or determine an electronic form that is associated with the type of the document. The server may further cause a user interface to be displayed via an application executing on an electronic device, wherein the user interface presents: (i) an image of the portion of the document adjacent to a field populated with the text element; and (ii) at least one interactive element that, upon selection, indicates that a user of the electronic device validates the text element within the field.

Described are vending and storage systems and methods for consumables, such as consumer packaged goods, and, in particular, to systems and methods that provide one or more of user verification, optimized storage conditions and monitoring of the consumer packaged goods, dispensing mechanisms, and virtual assistance to the user. Described are also systems and methods for automating and optimizing order fulfillment of products by tracking current inventory and analyzing inventory velocity for production planning.

Systems and methods for digital media-based user authentication are disclosed herein. In some aspects, the system may receive an authentication request. The system may transmit a user verification request based on the authentication request. The system may receive media recordings in response to the user verification request. The system may detect one or more features in the media recordings. The system may generate a plurality of risk metrics for the user based on generating risk metrics for the one or more features. The system may determine an authentication probability based on the plurality of risk metrics.

The embodiment of the invention provides a user verification method, device and equipment based on a content distribution network, and the method comprises the steps: receiving a verification code data request transmitted by a webpage front end through a first edge node in the content distribution network, and transmitting dynamic verification code data and a ciphertext answer of the dynamic verification code data to the webpage front end, displaying the dynamic verification code data at the front end of the webpage; receiving an answer verification request sent by the webpage front end through a second edge node in the content distribution network, performing verification code verification and robot verification on data carried by the answer verification request, and sending an effective bill to the webpage front end after the verification code verification and the robot verification are passed; the service request sent by the webpage front end is received through the third edge node in the content distribution network, and the service request is intercepted or released according to the bill condition carried by the service request, so that the service request is verified by utilizing the edge nodes in the content distribution network.

The invention relates to the field of network security, and discloses an asymmetric password authentication key negotiation method and system for improving security. According to the method, the hash value of the user password is used as a generation seed of the public and private key pair, and the password is directly associated with the key, so that the defense capability of the system to server leakage is improved. Furthermore, the invention provides a dual encryption strategy, and symmetric encryption is carried out on the ciphertext encrypted by the public key, so that off-line dictionary attack is effectively prevented, and even if data is leaked, an attacker cannot recover a user password. The two measures significantly improve the security of data transmission and user verification, and effectively prevent information leakage and unauthorized access.

Systems and methods for transferring resources using dynamic grid curves are disclosed. A system receives a transfer request specifying an input resource type, a target resource type, an amount of input resources, and an identifier of a storage application associated with the user. The system determines a plurality of current transfer rates, each corresponding to a respective blockchain. The system may query each blockchain to determine an on-chain computation overhead for processing the transfer. Utilizing a maximal current transfer rate and the determined computation overhead, the system generates a grid curve representing the amount of target resources available for transfer as a function of time. The system transmits commands to the user device to display the grid curve and requests user validation for the transfer. Upon receiving user validation, the system transmits the grid curve and transfer request data to a plurality of approved operator devices for execution.

The invention discloses a user verification method and device, electronic equipment and a computer program product. Relates to the field of artificial intelligence, and the method comprises the steps: determining a verification strategy according to a financial verification request when the financial verification request sent by a to-be-verified user is received, and sending verification information to the to-be-verified user according to the verification strategy; receiving to-be-verified data sent by the to-be-verified user, and extracting M verification sub-data from the to-be-verified data, the to-be-verified data being data generated by identity verification after the to-be-verified user receives verification information; and verifying the M verification sub-data to obtain M verification results, and generating an authentication failure prompt message when any one of the M verification results is abnormal in verification. Through application of the method and the device, the problems of low verification precision and low detection efficiency when safety verification is performed on the user in related technologies are solved.

Systems and methods are disclosed for executing an electronic transaction using a digital wallet. One method includes receiving electronic transaction information from an electronic transaction browser. An account enrollment status may be determined based on the electronic transaction information by a digital wallet system. The digital wallet system may generate a verification request based on the account enrollment status. The digital wallet system may receive user verification information via the graphical interface. The digital wallet system may also generate or verify a user account in the digital wallet system based on the account enrollment status and the user verification information. In one aspect, the digital wallet system may receive a request to complete an electronic transaction based on the electronic transaction information received from the electronic transaction browser. In another aspect, the digital wallet system may generate a token based on the request to complete the electronic transaction.

The present disclosure relates to a system and method for improved monitoring compliance within an enterprise based on inputs received from stakeholders. The present invention provides a system for generation of compliance model and updation of compliance model based in changes in regulatory compliances. The generation model is configured to generate a first set of labels and a first set of data points. Further, the first set of labels are validated by one or more said user to generate a second set of labels for additional data points based on validation of first set of labels. The generation of first and second set of label generates training ready data from the first and second set of labels for training a data model. Further, the present invention provides for updating of compliance model based on update in regulatory compliance rules. In updating the compliance model, the system provides generation of third set of labels corresponding to additional data points corresponding to new rules / compliance and the third set of labels are validated by users and the validated labels are used for re-training the compliance model.

An AI-driven, self-healing test automation system for WebDriverIO (WDIO), comprising: a. an error catching layer configured to detect when a test step fails due to a missing, moved, or modified UI element; b. an AI-based detection engine configured to analyze the current Document Object Model (DOM), historical test execution data, and element attributes including XPath, CSS selectors, labels, and inner text to identify and evaluate potential alternative UI elements; c. a predictive recovery module that uses pre-trained models such as Long Short-Term Memory (LSTM) networks or transformer-based architectures to predict and select an appropriate recovery action based on the current test context, including repeating the operation, jumping to the next logical step, or redirecting the test flow; d. a dynamic healing process that automatically applies the selected recovery action without requiring manual updates to the test code; e. a feedback learning loop configured to update and retrain the detection and prediction models based on user validation, success metrics, and execution results, thereby improving the accuracy and adaptability of the system over time.

The embodiment of the invention discloses a user verification method and device, a program product and a storage medium, relates to the field of artificial intelligence, is also applicable to the field of financial science and technology, and comprises the following steps: obtaining handwritten image data of a to-be-verified user; the handwritten image data comprises a to-be-verified user identifier, handwriting platform information, handwriting process parameters and a handwritten image; performing content verification on the handwritten image based on the to-be-verified user identifier to obtain a content verification result of the handwritten image; the content verification result is passing or not passing; when the content verification result is successful, determining a target handwriting verification model based on the to-be-verified user identifier, and inputting the handwritten image data into the target handwriting verification model to obtain verification data output by the target handwriting verification model; and determining a handwriting verification result based on the verification data, and displaying the handwriting verification result to the to-be-verified user. According to the invention, the risk that the biological characteristic information of the user is leaked can be reduced, and the safety and accuracy of user identity verification are improved.

The invention belongs to the technical field of computers, and discloses a Linux-based GitLab permission automatic opening system and a Linux-based GitLab permission automatic opening method, and the method comprises the steps that a user initiates a permission application; the receiving module receives the application and analyzes application information; the user verification module verifies a user identity; if the user passes the verification, the GitLab authority management module automatically opens the user authority; after the authority is successfully opened, the notification module sends a notification to the user; and if the judgment needs to be cyclically continued, returning to S3, otherwise, ending. According to the method, efficiency is improved, authority application and opening processes are automatically processed, manual operation is reduced, and development efficiency is improved. And the security is enhanced: the security risk is reduced through automatic permission auditing and monitoring. The user is notified in time through nailing, and it is ensured that the user obtains a permission opening result in time.

The invention discloses a secure biological privacy information verification system combining random storage and noise disturbance, and relates to the technical field of information verification, comprising a user registration module which collects and verifies biological characteristics of a user through a related identification system, generates basic information and biological information data, and sends the basic information and the biological information data to a storage module; the biological information processing module optimizes a biological characteristic matrix by using a differential privacy technology, then writes the biological characteristic matrix into a block chain by using a random storage strategy and generates encrypted position information, and the position encryption module encrypts the position information by using block index mapping, local disturbance encryption and elliptic curve encryption, and sends the encrypted position information to the block chain; the ID generation module generates a unique user ID in combination with the user personal information and the encrypted position information, the user verification module is used for verifying the information matching when the user logs in, and the information query module carries out safe query on the user information. According to the invention, the privacy of the biological information of the user can be effectively protected, and safe and efficient storage and management of the biological information are realized.

A system and method are disclosed for touchless, gesture-based form validation using real-time input from a standard camera. Spatial hand gestures are interpreted as mouse-like actions—such as drag, click, scroll, and hold—to complete form tasks without physical input. The system includes a vision-based input module, an AI-powered gesture recognition engine using landmark extraction, an interaction handler that maps gestures to DOM-compliant events, and a validation controller that confirms field focus, checkbox toggling, and submission. A visual feedback renderer provides real-time cues indicating gesture success, failure, or activity. Navigation buttons enable directional control and element repositioning. The method supports secure CAPTCHA-style workflows via randomized tasks and gesture thresholds, executing natively in browsers using WebAssembly or TensorFlow.js. Applications include bot prevention, accessible interaction, and secure, device-free input for web and mobile environments.

Systems and methods for adaptive intelligent user validation are provided. Example techniques may include receiving an indication of initial user input associated with a user account for an online service during an authorized user session; providing the initial user input to a machine learning model as training data; generating a user signature associated with the user account based on providing the initial user input to a machine learning model as training data; receiving subsequent input associated with a subsequent attempt to access the online service by the user account; comparing the subsequent input to the user signature associated with the user account; and allowing a subsequent authorized user session of the online service for the user account based on determining that the subsequent input matches the user signature associated with the user account.