20 results about "Identity theft" patented technology

A proxy value allocation and instant settlement system for atomic tasks is disclosed. The task decomposition module is configured to receive complex tasks and decompose them into multiple atomic subtasks using a directed acyclic graph (DAG) algorithm. Each atomic subtask is bound to a dynamic identity identifier of the executor proxy. A value weight allocation module, connected to the task decomposition module, is configured to calculate the value weight and corresponding settlement amount for each atomic subtask based on preset indicators. A fund locking module, connected to the value weight allocation module, is configured to pre-lock the total task funds at a distributed settlement node using a smart contract and set release conditions. This invention, by utilizing the DAG construction unit within the task decomposition module during the task initiation phase, can decompose complex macro-objectives into a set of atomic subtasks with independent executability and verifiability, eliminating the risks of identity theft and responsibility shirking during task execution and laying the foundation for subsequent settlement.

This application relates to an identity verification method and related products. The identity verification method is applied to a server and includes the following steps: receiving a user's car rental request, the car rental request carrying rental location information; determining a first vehicle matching the rental location information; obtaining the user's identity information; generating verification information using the identity information; and sending the verification information to the first vehicle, the verification information being used by the first vehicle to verify the user's identity. This improves the security of user identity verification and prevents user identity theft.

The invention discloses a fuel management supervisor on-duty compliance verification method and a related device, and belongs to the technical field of personnel management. The method comprises the following steps: acquiring human face information and personnel data of spatial position information at an inlet and an outlet of a fuel sample preparation room in real time; based on the personnel data, the number of personnel in the sample preparation room is counted and judged in real time through a dynamic people number balance algorithm; on the basis of face information in the personnel data, performing biological characteristic identity verification on personnel in the sample preparation room, and confirming the identity and on-duty state of the supervisor; and coupling the number of the personnel, the identity of the supervisor and the on-duty state of the supervisor, and generating a compliance judgment conclusion. According to the invention, on the basis of a living body detection and trajectory tracking technology chain, the problems of identity false use, double-person cooperative verification and shift supervision are solved, and a non-repudiation responsibility tracing system is constructed. Through cross-modal data fusion and complex environment adaptation design, the problems of data islands, statistical distortion and equipment reliability in the prior art are solved, and all-time accurate supervision is realized.

One or more implementations include methods, systems, and / or devices to help protect consumers from fraudulent activity using compromised PII. For example, systems and methods can be implemented that enable the detection and prevention of consumer-focused identity theft, generates a risk score and is powered by a predictive model using machine learning techniques and tools and presents information and recommended action a user can take in reports.

The invention discloses an electronic identity authentication system, device and method, and belongs to the technical field of identity authentication, verification and information security protection, and the system comprises a user terminal which is used for collecting biological characteristic information and password information of a user; the multi-factor authentication module is used for receiving the information sent by the user terminal, preprocessing the information, performing multi-dimensional verification on the user identity, and dynamically adjusting the verification intensity by adopting a dynamic verification engine mechanism; the block chain evidence storage module is used for carrying out encrypted storage and management on the identity information, the biological characteristic data and the operation record of the user; the intelligent contract module deploys an intelligent contract based on the block chain evidence storage module and is used for automatically executing identity authentication and management, recording an audit track of operation and realizing cross-mechanism platform identity mutual recognition and responsibility tracing; according to the electronic identity authentication system, device and method provided by the invention, the problems of identity theft, cheating, misuse, difficulty in tracing and the like in the traditional identity authentication technology are effectively solved.

The invention discloses an Internet of Things privacy risk assessment method based on causal dependency graph cyclic decomposition. The method belongs to the technical field of network security and data privacy protection. The method comprises the following steps: (1) constructing a causal dependency graph, and setting intervention nodes; (2) decomposing a causal loop through an edge removal strategy to generate a plurality of effective directed acyclic subgraphs; (3) executing causal effect inference in each sub-graph, and quantifying state change after attribute leakage; (4) calculating causal susceptibility and downstream causal influence of the identity attribute based on an inference result; (5) aggregating all sub-graph results to generate a standardized privacy risk score; and (6) grading according to the score and outputting an identity theft path and a protection suggestion. According to the invention, the problem of cause and effect identification failure caused by a loop structure is effectively solved; clear semantics of an identity theft path are reserved by decomposing the sub-graphs; a dynamic causal index is introduced, and accurate quantification of the cascading privacy risk in the Internet of Things environment is realized.

This invention discloses a smart hotel check-in and personalized service recommendation system, belonging to the field of smart hotel IoT intelligent control technology. It addresses issues such as low identity verification security, cumbersome check-in processes, rigid service recommendations, poor hardware connectivity, insufficient risk control and traceability, and weak scenario adaptability. The system includes a front-end interaction layer, a core processing layer, a data support layer, and a service execution layer. Each layer achieves bidirectional communication and linkage through the IoT and encrypted internet, forming a closed-loop data system throughout the entire process. Check-in efficiency is significantly improved, achieving contactless, unmanned, and seamless check-in. The check-in time for a single check-in is reduced to less than 60 seconds, completely solving the problem of queuing and congestion during peak hours. Peak hotel front desk staff can be reduced by 30% to 45%, significantly lowering routine operating costs. Identity verification is secure and compliant; a triple-encrypted linkage verification mechanism combined with full-process risk control alarms ensures a near 100% interception rate against identity theft and unauthorized unlocking risks.

The invention relates to a morphed face detection system and method against identity theft that allows detecting whether an image is a morphed image or a bona fide image when given, and also detecting by which method the morphed image was morphed. The invention particularly relates to a morphed face detection system and method against identity theft that uses machine learning-based detection methods to determine whether a face image is a morphed version, captures traces left by morphing methods on images, detects whether a given test image has undergone morphing, and comprises features such as co-occurrence matrix.

The invention discloses an intelligent power grid equipment trust management and authentication method and system based on a block chain, and aims to prevent identity embezzlement and disguise in a distributed electric energy network. According to the identification and authentication model, the authentication of the node is improved by using the digital certificate, the use safety of the power grid can be remarkably improved, the validity of the node can be easily verified through the Merkle tree architecture by using the intelligent power grid equipment identification and authentication model of the Merkle tree architecture, and when new equipment is added to the block chain, the new equipment can be identified and authenticated through the Merkle tree architecture. The communication with a control center can be started; the privacy and data of all participants are protected, the block chain technology can provide a distributed and decentralized security system to ensure the integrity and confidentiality of transactions, the block chain can serve as a trusted transaction platform, energy of different energy sources is exchanged between smart power grids, real-time pricing is achieved, and the transaction efficiency is improved. And simpler and more convenient energy trade can be realized, and the market is freer and more fair.

Disclosed is a system for providing a virtual card using a mobile communication device and payment methods using the same. The virtual card is issued to a user by any financial institute, being adapted to authorize the user to withdraw the cash and / or pay for any product or service. The system (100) includes a mobile communication device (101) and an ATM (102), each with a SIM card and a communication module. The method includes the activation of the virtual card and allowing the user to do any kind of transaction like withdrawal, credit and / or debit for any product or service in response to the authentication procedure involving a PIN with 4 digit random number combination. Thus, the invention reduces the possibility of the scamming. The invention also does not require any physical card to be issued, hence reducing the possibility of identity theft by using fraudulent information and applying for new cards on the user's behalf.

This invention relates to the field of on-site operation safety technology and provides a method and system for safety management and control of power field operations. The method includes the following steps: responding to an operation request and generating a verification pass signal; based on the verification pass signal, performing spatiotemporal correlation analysis on biometric feature groups and physical carrier feature groups to generate a physical carrier credibility score; based on operation task information, obtaining preset risk points and preset safety rules corresponding to the current operation stage from a risk knowledge graph, and fusing the physical carrier credibility score with the preset risk points and preset safety rules to generate a dynamic fault tolerance time limit; within the dynamic fault tolerance time limit, continuously monitoring the real-time changes in the physical carrier credibility score. This invention can achieve strong binding verification between operators and their physical carriers, effectively identifying hidden risks such as identity theft or use of unauthorized tools, and avoiding operation interruptions caused by occasional interference.

The invention relates to the technical field of signature authentication, in particular to an expert signature system based on multi-factor authentication. Comprising a factor acquisition unit used for acquiring authentication factor data; the safety evaluation unit is used for establishing a risk evaluation model and setting a monitoring strategy library according to the risk evaluation model; the sensing unit is used for acquiring risk feedback data of the current signature task; the sensing unit is also used for setting a first-level monitoring strategy of the current signature task according to the risk feedback data and the risk assessment model; the factor acquisition unit is used for acquiring authentication factor data of the current signature task according to the first-level monitoring strategy; the factor acquisition unit is also used for generating a signature feedback packet; and the central control unit is used for constructing an authentication evaluation model. A multi-factor acquisition structure is integrated, a multi-dimensional cross validation mechanism is constructed, the overall efficiency of bid evaluation work is improved, meanwhile, loopholes of a single validation mode are effectively avoided, and the risk of identity false use is greatly reduced.

The invention provides a commercial vehicle personal data protection method and system based on two-factor authentication, and belongs to the field of vehicle-mounted information system safety. The method comprises the following steps: receiving a user login request, starting a two-factor authentication process, and synchronously performing Bluetooth near-field verification and face biological feature recognition; determining a user identity type according to an authentication result, and loading a corresponding permission template; continuously monitoring a user authentication state and context environment information during the session; dynamically adjusting an available function and a data access range of the current account based on a monitoring result; and when it is detected that the user leaves, a protection mechanism is automatically triggered, and the account permission is limited or the session is locked. According to the method, through two-factor continuous authentication and dynamic authority management, the problems of data residue, no protection in leaving the vehicle, identity false use, extensive authority management and the like in a commercial vehicle driver random matching scene are effectively solved, and the safety and privacy protection level of vehicle-mounted personal data are remarkably improved.

Methods and systems described herein are directed to controlling access to and the distribution of credit information. A credit information access manager can maintain accounts for users and third party accessors wishing to access user credit information. The credit information access manager to generate an identifier to authorize a third party's access to a user's credit information, which can be associated with one or more deauthorization conditions. When the third party requests access to a user's credit information with the identifier, the credit information access manager can determine whether the identifier is valid or expired based on the one or more deauthorization conditions. The credit information access manager can automatically and dynamically revoke identifier to limit a user's exposure to identity theft and financial crimes.

The invention provides one or more consortia of networks that identify and share information about users and / or user devices interacting with the consortia. User devices may be identified, at least in part, by tag-based computer information. Computers and other devices accessing the Web carry device tags with date and time information describing when they were issued by a security tag server. A server time stamp may be inserted into time based computer tags such as a cookies indicating when they were created. Such time stamp information can be encrypted and analyzed during future attempts to access a secure network such as a customer attempting to log into an online banking account. When the time stamp information from the tag is compared to other selected information about the user, device and / or account, including but not limited to last account log-in date / time or account creation date, the invention may be used to detect suspicious activity. The invention may be use for identity-based applications such as network security, the detection of fraudulent transactions, identity theft, reputation-based communities, and law enforcement.

This invention discloses a method and device for intelligent management of personnel safety in power plants. The invention integrates facial recognition, iris verification, and safety helmet detection—three biometric features—to achieve identity verification that matches the person's identification. Through UWB high-precision positioning and smart safety helmets, it tracks personnel location and behavioral status in real time. It constructs a four-dimensional dynamic permission model encompassing personnel qualifications, work tasks, equipment status, and environmental risks. Based on real-time data such as work orders, equipment isolation status, and gas concentration, it automatically matches access and operation permissions, and in abnormal or emergency situations, it blocks violations or switches to emergency evacuation mode within seconds. This invention effectively solves the problems of identity theft, information silos, and static permissions in traditional power plants, achieving precise, dynamic, and closed-loop personnel safety management, significantly improving intrinsic safety levels and emergency response efficiency.

Security against identity theft in generative artificial intelligence applications includes receiving, from a user computing device, an online user prompt to a large language model (LLM), the online user prompt associated with a user identifier, tokenizing the online user prompt to generate a target set of tokens, and tagging each token in the target set based on parts of speech to obtain a tagged target set. Security further includes processing, by a vector embedding model, the tagged target set to generate multiple vector embeddings, processing, by a sequential model, the vector embeddings to generate a target vector, processing, by an anomaly detection model using or trained with a signature of the user identifier, the target vector to detect whether user impersonation exists. Security further includes blocking, in real time with receiving the online user prompt, access to the LLM based on detecting that user impersonation exists.

The application discloses a kind of video IVR risk identification systems based on call center, it is related to risk identification technical field, the application includes data acquisition module, data analysis module, risk identification module, early warning terminal and database, microphone array is installed in suitable position, the voice of user is collected by microphone array, and each voice instruction of user is identified, while obtaining the real-time operation data and real-time voice of each user in each time operation process in history from database, and the age of each user in history, construct voice-operation relationship diagram, when user operates, whether there is the risk of identity theft is detected, if there is, early warning is carried out and operation page is closed, if there is not, whether user is abnormal is judged, if abnormal, early warning is carried out and operation page is closed, the accuracy of abnormal operation detection and the effectiveness of operation action timeout judgment are guaranteed.

The invention provides one or more consortia of networks that identify and share information about users and / or user devices interacting with the consortia. User devices may be identified, at least in part, by a delta of time parameter between a user device used and a reference time. Other parameters may be analyzed to identify a computer user and / or device and noteworthy transactions. The invention may be used for identity-based applications such as network security, the detection of fraudulent transactions, identity theft, ratings-based communities and law enforcement. User may be permitted to register user devices in order to control access for performing transactions.

With popularization of medical imaging equipment and improvement of resolution, medical institutions generate massive medical image data. The images generally contain highly sensitive personal privacy such as patient identity information, examination dates, diagnosis results and the like. If leakage occurs, risks such as privacy exposure and identity embezzlement of the patient may be caused. In order to ensure safe and efficient transmission and storage of medical images in a network, the invention provides a real-time medical image encryption method based on punching scrambling. The method comprises the following steps: firstly, performing scrambling operation on a plaintext image by using punching scrambling; secondly, carrying out dynamic and rapid Hachimoji DNA (Deoxyribose Nucleic Acid) coding on the scrambled image; thirdly, diffusing the coded DNA sequence by using a dynamic DNA point mutation operation; and finally, carrying out dynamic and rapid Hachimoji DNA decoding on the diffused DNA sequence, so as to obtain an encrypted image. Experimental results and method analysis show that the method has relatively high security and relatively high encryption efficiency.