238 results about "Transaction security" patented technology

The invention discloses an abnormal transaction behavior detection method and system based on a block chain, and aims to improve the transaction security of the block chain. According to the method, a DBSCAN algorithm and an isolation forest algorithm are combined, and abnormal transaction behaviors are identified through clustering analysis and random feature selection. Wherein the DBSCAN algorithm is used for preliminarily screening abnormal transaction behaviors, and the isolation forest algorithm is used for further refining detection and evaluating abnormal scores of transactions. According to the invention, the false alarm rate is effectively reduced, the detection coverage and accuracy are improved, and technical support is provided for block chain transaction security.

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 provides a payment service security protection method and system based on a block chain, and the method comprises the steps: determining a deployment strategy for a block chain node based on an overall payment service range, building a distributed node based on the deployment strategy, achieving the building of the distributed node for a payment service, guaranteeing the safe and stable completion of the payment service, and improving the safety of the payment service. Based on security rules, a consensus node meeting the current payment service is selected from distributed nodes, a proper node is selected for the current payment service for transaction, transaction security is ensured, transaction security verification is performed on the current payment service based on the consensus node, the current payment service is completed after verification is passed, and the current payment service is completed after transaction security verification is passed. According to the method, malicious attacks are prevented, payment data generated after the current payment service is completed are fragmented, encrypted and stored in the storage node, the safety of the payment data is ensured, and the payment data are effectively prevented from being maliciously modified or deleted through fragmented storage.

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 relates to the technical field of block chains, and discloses a transaction monitoring method and a related device, which are used for improving the transaction efficiency and reducing the transaction security risk, and the method comprises the steps: after a main node in an alliance chain obtains the transaction information of a target transaction, carrying out the transaction processing of the transaction information, and obtaining a transaction result, the method comprises the following steps that: firstly, a node identifier of a node, transaction information and a transaction result are associated and recorded in a log file, and then, a main node broadcasts the transaction information and the transaction result to other nodes in a block chain for transaction verification, and respectively receives transaction verification results returned by the other nodes; the method comprises the following steps: acquiring the node identification of each other node, recording the other node identification of each other node and the corresponding transaction verification result in a log file in an associated manner, and finally, sending the log file to a server, so that the server analyzes the transaction condition of the target transaction based on the node identification, the transaction information, the transaction result, each other node identification and the corresponding transaction verification result.

The present invention relates to the technical field of business process management, specifically to an intelligent information management system for e-commerce, the system comprising: a transaction behavior monitoring module, an abnormality identification module, a transaction mode optimization module, an inventory optimization module, a risk monitoring module, and an intelligent response module. In the present invention, real-time monitoring and data analysis are used to track e-commerce transaction behaviors, which can instantly discover and screen transaction behaviors that deviate from the norm, improve transaction security and accuracy, use advanced data analysis technology, and effectively identify and manage abnormal transaction patterns through an isolation forest algorithm, which not only helps to prevent fraud and risks, but also optimizes transaction processes and rules, improves transaction efficiency, and can timely implement risk prevention and control measures through real-time monitoring and evaluation of inventory risks, maintain a dynamic balance between inventory and market demand, effectively avoid excessive inventory and out-of-stock situations, and improve the market competitiveness of enterprises.

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 discloses a post-payment guarantee method and a payment system with funds and trust as targets, and aims to provide real-time credit assessment and risk control for users in a post-payment financial system. The method comprises the following steps: firstly, constructing a post-payment financial system, collecting multi-source historical transaction data of a user, and constructing a user portrait through data analysis; thirdly, performing preliminary credit evaluation according to the user portrait, determining post-payment permission and formulating a fund bottom-out strategy; then, monitoring user transaction data in real time by using a deep learning algorithm, predicting a default probability, and dynamically adjusting fund bottom-out strategy parameters; and finally, optimizing the fund bottom-out strategy based on the default risk coverage degree to form a dynamically adjusted fund bottom-out optimization strategy. The method effectively improves the transaction security, reduces the default risk, improves the user trust, is suitable for a plurality of scenes such as finance and e-commerce, and has a wide application prospect.

The invention relates to the technical field of cross-border payment, in particular to a cross-border electronic payment security verification system, which comprises a key distribution control module, a transaction environment evaluation module, an identity verification adjustment module, a transaction behavior analysis module and a key security optimization module, and analyzing the transaction amount distribution characteristics and the transaction frequency change trend. According to the invention, by mining the change trend of the transaction frequency and the amount and evaluating the fluctuation of the payment channel security, the secret key matched with the current security demand is automatically generated, the transaction security is improved, the potential security risk can be accurately identified and coped with, the identity verification intensity is adjusted through the environmental stability index, and the security of the payment channel is improved. The system ensures the high adaptability and stability of the authentication process, not only enhances the defense capability for fraud and network attack, but also improves the transaction processing speed and efficiency, and protects consumers and merchants from being affected by financial fraud.

In some embodiments thereof, the present invention discloses systems and methods for facilitating secure peer-to-peer transactions between a buyer and seller using an intelligent escrow service. In one aspect, transactions are initiated on the platform specifying transaction details. Funds are held in a temporary escrow account and released upon fulfillment of transaction terms. In one aspect, the escrow amount may be dynamically determined using predictive algorithms analyzing factors like user profiles, location, and transaction history. Upon delivery confirmation by the buyer, funds are released to the seller as fulfillment is validated. In one aspect, mediation services using trained machine learning algorithms aid dispute resolution by processing details of issues to provide recommended solutions. The platform provides end-to-end transaction security tailored for direct P2P payments, enhancing trust and accountability without third-party intermediaries. By leveraging artificial intelligence and machine learning capabilities, the invention uniquely combines escrow services, transaction protection, and intelligent dispute resolution for frictionless P2P transactions.

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 data processing, in particular to a transaction security authentication method based on multi-source information fusion, and the method comprises the steps: collecting a current month training fraud sample and a current month normal transaction sample, obtaining the evolution degree of each training fraud sample in the current month according to the difference between the feature vectors of the training fraud samples in the current month and the feature vectors of the historical fraud samples in the historical time periods before the training fraud samples in the current month, and obtaining the growth degree of each training fraud sample in the current month; obtaining the sample weight of each training fraud sample in the current month according to the growth degree and the evolution degree, endowing the training fraud sample in the current month with the corresponding sample weight, inputting the training fraud sample in the current month and a normal transaction sample in the current month into a LightGBM model for training to obtain a trained LightGBM model, and identifying the fraud behavior of the latest transaction record according to the trained LightGBM model. According to the invention, the accuracy of fraudulent behavior identification is improved.

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.

The embodiment of the invention relates to the technical field of transaction security, and discloses a payment fraud detection method based on behavior pattern analysis and multi-modal identity verification, and the method comprises the steps: collecting the current original behavior data of a user in real time according to a transaction request when the transaction request of the user is received; respectively encrypting the current original behavior data of the user and the transaction request in real time to obtain the encrypted current behavior data and the encrypted transaction request, and simultaneously destroying the current original behavior data of the user and the transaction request; analyzing a behavior risk degree by adopting a behavior analysis model; according to the behavior risk degree, collecting current original biological data of the user, encrypting the current original biological data of the user, destroying the current original biological data, and verifying the encrypted current biological data by adopting a target verification strategy to obtain a verification result; and determining whether payment fraud exists or not according to the verification result. According to the embodiment of the invention, the effects of payment security and privacy protection are achieved.

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 discloses a computer information security management method and system based on big data, and relates to the technical field of information security management, and the method comprises the steps: carrying out the risk recognition of financial transaction application computer storage data, marking a key transaction concerned object, carrying out the first verification, and marking an abnormal computer information condition; according to the marked abnormal computer information condition, identifying and marking the financial computer information abnormity type with the highest matching degree, and then carrying out second verification to judge whether the financial computer information abnormity type exists or not; when the financial computer information exception type does not exist, obtaining related verification data for third verification; based on the third verification result, whether security approval passes is judged, if the security approval passes, a manual inspection demand is triggered, an abnormal specific reason marked by manual inspection is obtained, and an abnormal label is created for the abnormal specific reason. The multi-level security verification and intelligent abnormity management are realized, and the transaction security and the user experience are significantly improved.

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 embodiment of the invention provides a block chain data processing method and device, equipment and a storage medium. The method comprises the following steps: receiving a transaction request of multimedia data published in a media platform by first equipment for second equipment; according to media attribute information carried by the transaction request, behavior operation data about the multimedia data and first object attribute information of an object corresponding to the second equipment are acquired from the block chain; predicting the asset value of the multimedia data according to the behavior operation data and the first object attribute information; and according to the transaction request and the asset value of the multimedia data, transferring digital assets from the account address corresponding to the first device to the account address corresponding to the second device, generating an update digital certificate of the multimedia data, and storing the update digital certificate to the block chain. According to the method, the reasonable asset value of the multimedia data can be provided, the economic loss of a purchaser of the multimedia data is avoided, and the transaction security of the multimedia data is improved.

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.

Outbound traffic of a host application may be received from a host device having a host processor. The secure resource may be configured to provide a secure transaction based on the outbound network traffic. Using a second processor different than the host processor, it may be determined whether the host application is authorized to provide the outbound network traffic to the secure resource. The outbound network traffic may be allowed to be forwarded to the secure resource if the host application is authorized. The outbound network traffic may be disallowed to be forwarded to the secure resource if the host application is not authorized.