180 results about "Transaction security" patented technology

The invention discloses a security verification method for security transaction, which is characterized by comprising the following steps: a client generates first authentication request data before a user requests to perform security transaction, and sends the first authentication request data to a server through an encrypted channel; and after the server receives the first authentication request data, a one-time authentication token is generated based on a preset authentication algorithm and the user identity information, and the one-time authentication token and the unique transaction context corresponding to the one-time authentication token are bound and stored in a server session cache. And the authentication information is transmitted by adopting an independent channel, so that the token is prevented from being reused after being intercepted and captured, and the transaction security is effectively guaranteed. Meanwhile, user behavior feature analysis is introduced, token generation and verification strategies are dynamically adjusted, the recognition and response ability of the system to abnormal transactions is enhanced, and therefore the accuracy of identity verification and the intelligence of risk control in the security transaction process are improved.

The invention relates to the field of power transaction security, in particular to a data security protection method for power transaction. Comprising the following steps: a registration authentication stage: completing identity registration through triple authentication of a physical token, biological feature recognition and a dynamic password and GPS positioning white list verification; in the key initialization stage, an SM2 asymmetric key pair and an SM4 symmetric communication key are dynamically generated according to a transaction time window and main body attributes, and are issued through a point-to-point encryption channel and updated in time; in the data encryption and binding stage, a transaction instruction is encrypted, signed and subjected to double-layer integrity verification; a matching and on-chain registration stage: executing matching after verifying the signature, encrypting a result, writing the result into the block chain, and generating a zero-knowledge proof; and in the settlement and supervision stage, settlement or alarm responsibility investigation is started after decryption verification. According to the invention, the problems of single identity authentication, static key, easy data tampering and the like in the prior art are solved, full-flow security protection of power transaction is realized, and data confidentiality, integrity and traceability are improved.

The invention relates to the technical field of customer risk assessment, and discloses a risk assessment method and system based on customer key data, and the method comprises the steps: obtaining and cleaning customer identity verification, transaction behaviors and equipment interaction log data; analyzing the cleaned data to generate multi-dimensional behavior characteristic parameters, and constructing a risk assessment reference model; performing real-time verification on customer behavior data according to the model, and quantitatively evaluating abnormal matching of an operation instruction and a transaction record; and generating a behavior anomaly index according to a verification result, and judging a fraud risk. The system comprises a multi-source data integration module, a feature modeling module, a behavior verification module and a risk judgment module, and comprehensive risk assessment of customer transaction behaviors is realized. According to the invention, multi-source data can be comprehensively integrated, risks can be accurately assessed in real time, and transaction security is effectively guaranteed.

The invention discloses a data transaction security assessment method and system, and relates to the technical field of data security and intelligent assessment. The method comprises the steps of performing feature analysis on a data field, determining a sensitivity weight and generating a sensitivity vector; the fields are graded according to the sensitivity vectors, and dynamic adjustment is carried out in combination with transaction related information to obtain a grading result; calculating a data content risk, a field association risk, and a transaction environment risk based on the sensitivity feature set; determining a weight according to a transaction scene, and weighting various risks to obtain a comprehensive score; and judging the risk level according to the comprehensive score and a threshold value dynamically determined based on historical data. According to the invention, through hierarchical sensitivity modeling and dynamic risk calculation, fine-grained security assessment of different types and sensitivity data is realized, and the risk result can be adaptively adjusted along with changes of data contents, transmission paths and transaction environments, so that the accuracy, real-time performance and scene adaptability of assessment are improved, and the risk assessment efficiency is improved. The defects of a static evaluation method in the prior art are overcome.

The invention relates to the technical field of payment transaction security detection, and discloses an insurance online payment transaction security real-time detection method and system, and the method comprises the steps: obtaining macroscopic transaction characteristics and microdynamics data; user cognitive parameters are generated through the cognitive dynamics model; fusing the macroscopic features and the cognitive parameters to construct a hybrid vector; mapping the mixed vector to a potential field, and calculating an instant risk value; calculating a risk trend based on the vector change and the potential field gradient; the risk value and the trend index are integrated, and the safety level is detected; the system comprises a data acquisition module; a cognitive parameter generation module; a state vector construction module; a risk potential energy calculation module; a path trend analysis module; and a risk level decision module. According to the method, the unified mixed state vector is constructed, deep fusion and integrated representation are carried out on heterogeneous data from the macroscopic transaction environment and the microcosmic user behaviors, and the fundamental defect of complex risk modes emerging due to cross-dimension feature coupling in recognition in the prior art is overcome.

The invention discloses an electronic ticket ordering and payment application system based on a block chain, relates to the technical field of block chains, and is used for ticket business whole-process digital management, and a user interaction module supports multi-terminal operation and information management; the block chain order management module is responsible for order chaining and state updating; the multi-mode payment module supports double-track payment and encrypted transmission; the comprehensive matching module is linked with the block chain order management module and comprises a meal subsystem, a tourism subsystem, a hotel reservation subsystem and the like, and the passenger ticket verification module realizes multi-mode verification; the data storage module stores key data; and the intelligent contract scheduling module automatically executes the pre-deployed contract. The problems that an existing system is poor in data safety, low in efficiency and insufficient in adaptability are solved, ticket transaction safety and process automation are improved, data synchronization is guaranteed, multiple languages and multiple currencies are supported, user privacy is protected, multiple scenes are adapted, and travel and supervision requirements are met.

The invention discloses a platform payment risk control method and system based on new retail e-commerce, and relates to the technical field of network transaction security control, and the method comprises the steps: collecting multi-dimensional data containing user credit data and transaction scene data in real time, building a risk control evaluation model through a machine learning algorithm, and carrying out the risk control evaluation model; the method comprises the following steps: performing weighted scoring on collected multi-dimensional data to obtain a user and transaction combination risk level, dividing the user and transaction combination risk level into a low risk level, a middle risk level and a high risk level, dynamically configuring risk control parameters according to different risk levels, performing real-time monitoring on a transaction whole process, and recording a transaction success rate and a fund safety rate after parameter adjustment. According to the method and the system, through online and offline fusion and data driving of new retail, dynamic adjustment can be performed in combination with user credit and transaction scenes, and the user experience is improved while transaction risk control is guaranteed.

The invention relates to the technical field of financial data processing, in particular to a payment and settlement service system based on a big data technology, and the system comprises a data collection module, a user payment behavior recognition module, a payment channel evaluation module, and a payment execution and monitoring module. According to the invention, through deep analysis of transaction data and dynamic user portrait construction, consumption modes and preference trends of users can be captured and analyzed more accurately, and through extraction of periodic purchase behaviors and sudden change preferences, payment experience is highly personalized, customer service quality is greatly improved, payment channel assessment is comprehensive, and user experience is improved. The method includes real-time performance monitoring and cost analysis, guarantees the optimization of the payment process, effectively improves the processing speed and safety, reduces the fraud risk, enhances the transaction safety and transparency through the implementation of full-chain encryption and the real-time tracking of the payment progress, and improves the response speed to potential abnormalities.

The invention relates to the technical field of transaction security, in particular to a big data transaction security control method. The method comprises the following steps: acquiring basic information of a transaction subject, transaction data and environmental parameters, evaluating risks from subject, behavior and environmental dimensions to obtain corresponding risk indexes, integrating the risk indexes and security event influence degrees, obtaining security level evaluation coefficients, sorting and dividing security levels, generating corresponding management and control strategies based on the security levels, and performing management and control according to the management and control strategies. According to the method, hierarchical management and control of high-risk transaction blocking, medium-risk enhanced encryption, manual auditing and low-risk conventional monitoring are realized, meanwhile, a real-time early warning system is constructed through transaction data association analysis and multi-dimensional anomaly detection, and a management and control strategy is dynamically adjusted, so that the problems of risk identification lagging and management and control strategy extensive in transaction security are effectively solved, and the security of the transaction security is improved. And the transaction security evaluation precision and the response efficiency are improved.

Systems and methods are disclosed to provide a security framework for the authentication of digital content and the prevention of unauthorized modifications, especially targeting the vulnerabilities introduced by deepfake technologies. It innovates by merging reverse engineering with expression manipulation detection to discern genuine from altered digital media. The process involves comparing historical data against synthetic or real-time content, generating a “video mesh” that enables precise manipulation identification. Enhanced by Smart Contracts for each content piece to record and verify changes, this system advances digital identity and transaction security significantly beyond current methodologies. Furthermore, it employs Generative AI within the Identity Intelligent Clip Reviewer to scrutinize blockchain-secured data for manipulation signs, issuing a Proof of Digital Manipulation (PODM) for verified authenticity. This comprehensive method ensures the integrity and trustworthiness of digital interactions across various platforms, marking a significant step forward in the protection against sophisticated cyber threats and unauthorized data alterations.

The invention relates to the technical field of electric power security, and discloses a regional building group electric power transaction security guarantee system, which comprises the following modules: a trusted computing environment authentication module, a transaction data encryption and commitment module, an under-chain privacy computing and verification module, and a computing process certification and settlement module. According to the method, the algorithm hash value recorded in the program registry contract is combined with the remote authentication mechanism of the trusted execution environment, so that the traceability and verifiability of the under-chain computing environment are constructed. The system digitally signs a report containing an algorithm code hash value by using a hardware built-in private key, and submits the report to an on-chain contract for comparison, and the mechanism ensures that any under-chain privacy computing task is executed in a specified algorithm environment which is approved by block chain consensus and is not tampered with codes, so that the privacy computing efficiency is improved. The security risk caused by the untrusted computing environment or the non-compliance of the algorithm logic is completely eradicated from the source, and the basic guarantee is provided for the correctness of the subsequent computing result.

The invention relates to the technical field of digital media asset management, in particular to a digital media asset management method and system, which comprises the processes of metadata compliance tag injection, policy awareness mixed query and privacy affinity cache management. A cross-cloud query path is dynamically decided through an intelligent metadata gateway, double cloud caches are deployed in a hierarchical manner, and label consistency and copyright transaction security are ensured by using a block chain evidence storage module. According to the method, the global retrieval efficiency can be improved, the sensitive data cross-border transmission risk is reduced, illegal access and data leakage are effectively avoided, meanwhile, the high-frequency sensitive data retrieval performance is optimized by dynamically adjusting the cache strategy, and efficient cooperation of cross-layer events is achieved. The invention provides a digital media asset management method and a digital media asset management system, and aims to solve or at least alleviate the problems of low metadata retrieval efficiency and sensitive data cross-border transmission compliance risk coexistence in a mixed cloud environment.

A request associated with a blockchain transaction for a digital asset received. A determination is made that a crypto wallet holding the digital asset is associated with a transaction security option. A transaction authorization rule associated with the transaction security option is evaluated for verifying authorization for the blockchain transaction for the digital asset. Based on the evaluation of the transaction authorization rule, a determination is made whether to allow or deny the blockchain transaction for the digital asset.

Systems and methods are disclosed to provide a security framework for the authentication of digital content and the prevention of unauthorized modifications, especially targeting the vulnerabilities introduced by deepfake technologies. It innovates by merging reverse engineering with expression manipulation detection to discern genuine from altered digital media. The process involves comparing historical data against synthetic or real-time content, generating a “video mesh” that enables precise manipulation identification. Enhanced by Smart Contracts for each content piece to record and verify changes, this system advances digital identity and transaction security significantly beyond current methodologies. Furthermore, it employs Generative AI within the Identity Intelligent Clip Reviewer to scrutinize blockchain-secured data for manipulation signs, issuing a Proof of Digital Manipulation (PODM) for verified authenticity. This comprehensive method ensures the integrity and trustworthiness of digital interactions across various platforms, marking a significant step forward in the protection against sophisticated cyber threats and unauthorized data alterations.

The invention provides a transaction platform security early warning method, system and device and a medium, belongs to the technical field of financial security, and is used for realizing safer security transaction full early warning. The method comprises: a security anchor receives an operation request message from a terminal, the operation request message instructing a client to request to execute a first operation, the first operation being a transaction operation or a security modification operation for a transaction, and the client being a client on the terminal corresponding to a transaction security platform; the security anchor triggers bidirectional authentication between the security anchor and the client in response to the client requesting to execute the first operation; information used in the bidirectional authentication is determined based on a long-term key of the terminal, and the long-term key is authorized to the transaction security platform by an operator to which the terminal belongs; and under the condition that the two-way authentication fails, the security anchor point determines that the security risk exists and refuses to execute the first operation.

The present invention provides a collaborative caching method, apparatus, device, and storage medium based on the Internet of Vehicles (IoV), belonging to the field of IoV technology. The method comprises: collecting the current status, cache requests, and remaining available cache resource information of all vehicles in an IoV environment; classifying vehicles into cache requesting vehicles and cache providing vehicles based on the current status; converting the process of matching cache requesting vehicles with cache providing vehicles into a Markov decision process based on the current status of the vehicles and collaborative caching cost and benefit factors; constructing a D3QN algorithm based on the Markov decision process, and obtaining a vehicle matching strategy using the D3QN algorithm; executing the optimized matching strategy and invoking a smart contract deployed on a blockchain to execute cache content transmission and payment operations. This not only improves vehicle matching efficiency and ensures more rational resource allocation, but also increases transaction security and transparency.

The present invention relates to the field of financial data security technology, and discloses a financial data security verification system, which includes a data receiving module, a feature analysis module, a pattern recognition module, an indicator calculation module, a parameter adjustment module, and a verification execution module. The data receiving module obtains a financial transaction data set and constructs a multidimensional verification model; the feature analysis module extracts abnormal features to generate a transaction risk feature table; the pattern recognition module decomposes transaction records to identify transaction nodes and factors; the indicator calculation module generates a transaction link credibility assessment value; the parameter adjustment module dynamically updates the transaction risk feature table; and the verification execution module triggers transaction permission operations based on the optimization table. The system is also provided with units such as transaction comparison and time window collection, and has a three-level response mechanism. This system improves the security of financial transactions and the efficiency of verification through multidimensional analysis, dynamic adjustment, and refined response, and is suitable for various financial data security management scenarios.

Systems and methods are disclosed for a card device that integrates eSIM technology and Distributed Ledger Technology (DLT) to provide a secure, flexible solution for handling transactions across multiple financial institutions (FIs). The card system associates a single, secure eSIM-enabled card with multiple accounts and FIs, enhancing transaction security and efficiency. The card, embedded with an eSIM, allows dynamic association with customer details and FI accounts, ensuring each transaction is authenticated on a decentralized platform without sharing sensitive information. The system employs DLT for logging transaction details and managing transaction metadata centrally, providing fraud detection and real-time settlement capabilities. The invention improves security by using cryptographic methods and real-time monitoring including geo-locating of cards and clones to prevent unauthorized access and fraud, addressing the need for a secure, multi-institution financial transaction platform.

The application relates to the technical field of payment transaction security detection, and discloses an insurance online payment transaction security real-time detection method and system. The method comprises the following steps: acquiring macroscopic transaction features and microscopic dynamic data; generating user cognitive parameters through a cognitive dynamic model; fusing the macroscopic features and the cognitive parameters to construct a hybrid vector; mapping the hybrid vector to a potential field to calculate an instant risk value; calculating a risk trend based on vector changes and a potential field gradient; comprehensively detecting a security level based on the risk value and the trend index. The system comprises the following modules: a data acquisition module, a cognitive parameter generation module, a state vector construction module, a risk potential calculation module, a path trend analysis module and a risk level decision module. The application constructs a unified hybrid state vector, deeply fuses and integrally represents heterogeneous data from a macroscopic transaction environment and microscopic user behaviors, and solves the fundamental defects of the prior art in identifying complex risk patterns emerging due to cross-dimension feature coupling.

The invention discloses a virtual power plant electric energy transaction security processing method and system based on a block chain, and relates to the technical field of intelligent power grid industries, and the method comprises the steps: collecting operation data of distributed energy nodes through a sensing layer, encrypting the operation data through a communication layer, and uploading the operation data to a block chain control layer; deploying a distributed account book in a block chain control layer, and processing a transaction request through an intelligent contract; electricity price matching and real-time settlement are executed on a service layer; the electricity price matching constructs a transaction matching relation based on a minimum cost and maximum flow model and solves an optimal matching path, and a matching result is written into a block chain after consensus; the real-time settlement generates settlement data according to the scheduling time period, and identifies abnormal transactions; the multi-level security mechanism comprises node identity authentication based on a national secret asymmetric encryption algorithm; dynamically deriving a session key based on a national secret symmetric encryption algorithm; and separately storing the service data stream and the control instruction stream. The method supports a high-dynamic transaction scene, and has a full-chain credible guarantee capability.

The invention discloses a block chain fragmentation system error fragmentation security guarantee method and system, and the method comprises the steps: transmitting a request message to other nodes in an entrance fragment if a node is a node in the entrance fragment after a security guarantee trigger condition and a round trigger condition are satisfied, and determining a random fragment; after the leader node receives the request message with the preset proportion, a forwarding message is generated and sent to all nodes in the random fragment; after receiving the forwarding message of the leader node, the node in the random fragment generates a state message and feeds back the state message to the leader node; the leader node generates a new cycle message after receiving a preset proportion of consistent state message in the random fragment, and sends the new cycle message to all nodes in the entry fragment; and after receiving the new cycle message, the node in the entry fragment executes a conflict processing operation. According to the method, the situation that the security or activity of transactions in the fragments is threatened due to the fact that error nodes possibly exceed a threshold value in part of the fragments can be handled.

Digital payment systems and methods leveraging optical tones, blockchain technology, and neuromorphic computing to enhance transaction security and flexibility are disclosed. By initiating transactions with unique optical tones generated through mobile IoT applications, payment instructions are encoded into visually encrypted signals, ensuring high security from the outset. Multi-Factor Authentication (MFA), including advanced facial recognition via Convolutional Neural Networks (CNNs), authenticates users, while Spiking Neural Networks (SNNs) process and filter the optical tones, focusing on pertinent transaction details. The system utilizes blockchain oracles and smart contracts for validating transactions and automating the execution of payment instructions, respectively. A novel aspect of this invention is the ability to generate custom payment tokens, either embedded within optical tones or as separate entities, to facilitate specific transactions. This approach not only significantly enhances the security of digital payments but also introduces unprecedented flexibility in managing financial transactions, setting spending limits, and executing recurring payments.

The invention discloses a micro-grid point-to-point electric energy transaction and power supply scheduling method based on a block chain in the field of micro-grid energy transaction and scheduling, and the method comprises the steps: constructing a decentralized transaction platform through the block chain, and integrating the supply and demand data of a distributed power supply, an energy storage unit and a load node; an electric energy value evaluation model and a dynamic scheduling priority algorithm are introduced to realize credible execution of point-to-point electric energy transaction and optimal configuration of power supply resources; a transaction settlement and scheduling instruction is automatically executed through an intelligent contract, and a real-time power balance constraint formula and a supply-demand matching degree calculation model are combined, so that the transaction security and the power supply stability are ensured. The decentralized transaction platform is constructed through the block chain, point-to-point direct transaction between the power generation node and the load node is realized, intervention of a centralized intermediary is not needed, the transaction process is simplified, trust loss and communication cost of an intermediate link are reduced, and energy value is accurately transmitted.

This application provides a blockchain-based power trading system. The system includes: acquiring power information; generating a seller's transaction document based on the power information and sending it to the blockchain for identity verification; acquiring user information; generating a buyer's transaction document based on the user information and sending it to the blockchain for identity verification; the buyer generating a random number and sending the random number to both the seller and a third-party platform; the seller generating a verification code based on the random number and sending it to the third-party platform; the third-party platform obtaining the decoded random number contained in the verification code and comparing it with the random number sent by the buyer for verification; if the verification passes, the seller's transaction document and the buyer's transaction document are merged to generate a power trading document, which is then sent to both the seller and the buyer, and the transaction is executed. This application achieves distributed data storage and tamper-proof information through blockchain verification and storage, thus improving transaction security.

Embodiments of the present disclosure relate to system access using a mobile device. The present invention discloses techniques related to electronic security, such as for authenticating a mobile electronic device to allow access to system functions (e.g., physical access to the system, starting the engine / motor, etc.). In some embodiments, the system and the mobile device exchange public keys of a public key pair during a pairing process. In some embodiments, an asymmetric transaction process includes using a key derivation function to generate a shared secret based on a key established using a secure key exchange (e.g., Elliptic Curve Diffie-Hellman) and verifying the signature of the system before transmitting any information identifying the mobile device. In various embodiments, the disclosed techniques can increase transaction security and the privacy of identification information.

The present invention relates to a data transaction security and privacy protection method based on a zero-knowledge proof smart contract, comprising: initializing blockchain parameters; a seller and a buyer registering their privacy identities with a trusted regulatory agency; the seller generating a zero-knowledge proof of the ownership relationship of the data to be sold and a data ownership proof contract, uploading {α, #imgabs0#T1, sign1} to the chain, and obtaining an on-chain address; the seller generating a zero-knowledge proof of a contract for preventing processability attacks, and verifying it based on the on-chain information, and publishing information about the data to be sold after passing the verification; the buyer requesting the seller to purchase the data, and the buyer generating a zero-knowledge proof of a data ownership privacy transfer proof contract based on the new ownership relationship calculated by the seller, and verifying it, obtaining a ciphertext storage address of the purchased data, and uploading {α, #imgabs1#T2, AddrM new ,addr id , sign2} on the chain. The present invention has better security and privacy features.

The application relates to the technical field of smart grids, in particular to a transaction security protection method and device based on a double-layer block chain structure. The method comprises the following steps: receiving a first consensus result sent by a first target shard chain; performing correctness verification on a block based on identification information to obtain a first verification result of the block; performing security verification on the block based on account transaction data and ledger data to obtain a second verification result of the block; generating a second consensus result corresponding to the first consensus result in the case that the first verification result and the second verification result are correct; and sending the second consensus result to a second target shard chain, so that the second target shard chain executes a target transaction operation according to the second consensus result. The application can guarantee the correctness, integrity and security of data transactions between shard chains on the basis of the double-layer block chain structure.

The invention discloses a payment information identification and cashier system based on an augmented reality technology, and relates to the technical field of payment and cashier systems. The equipment integrates a high-precision camera, an augmented reality AR display screen and a wireless communication module, and quickly acquires user payment information and interacts with a background cashier system through modes of user payment code scanning, face recognition or gesture operation and the like. And the equipment encrypts payment information through a built-in algorithm to ensure transaction security. And meanwhile, the head-mounted intelligent equipment body has a virtual reality function, so that the payment state, the user integral and the promotion information can be displayed in real time in the cashier process, and visual interactive experience is provided for the user. The equipment is suitable for multiple fields such as retail and catering, the payment efficiency is remarkably improved, and the user experience is optimized.

The present invention provides an artificial intelligence-based real estate registration verification method and system, relating to the field of information verification technology. The method comprises: determining owner information, reference facial image data, and reference signature image data of the owner; obtaining comparative facial image data and comparative signature image data of the seller; obtaining first and second facial feature information, first and second signature feature information, and document feature information; obtaining first and second relationship information, and then determining property rights reference feature information and property rights verification feature information through a graph neural network model, thereby determining a verification result. According to the present invention, a graph neural network model can be used to verify whether the relationships between multiple owners have changed. If the authenticity of the sale is in doubt or the relationships between multiple owners have changed, a risk in the transaction can be indicated, thereby reducing the legal risks of the transaction and improving transaction security.

Aspects of the present disclosure relate to transaction security techniques. In examples, a resource platform causes a set of executable verification instructions associated with an authorization processor to be executed by a user computing device. The verification instructions may be encrypted by the authorization processor for decryption by the user computing device. The verification instructions may generate verification information associated with the user computing device. In some instances, the verification information may be encrypted for decryption by the authorization processor. The encrypted verification instructions may be provided to the authorization processor (e.g., via the resource platform), such that the authorization processor may provide an indication to the resource platform as to whether the verification is verified. Accordingly, if the verification information is verified a transaction associated with the resource platform may proceed or, as another example, the user computing device may be granted access to information.