331 results about "Transaction security" patented technology

The invention discloses a multi-level transaction security authentication method based on supply chain finance, and relates to the technical field of financial services, and the method comprises the steps: reading encrypted data stored in a block chain when a transaction is initiated, and calculating a dynamic credit score in combination with real-time data in a transaction request; according to the dynamic credit score, the transaction amount and the transaction frequency, carrying out risk grade division on the transaction; dynamically triggering a corresponding authentication level according to the transaction risk level, and performing privacy protection verification on sensitive data related to the transaction in combination with a zero-knowledge certification technology; after verification is passed, an adaptive hierarchical consensus mechanism is selected according to the transaction risk level to execute a consensus operation, and a consensus result is stored in the block chain; the transaction risk levels are dynamically divided, and corresponding authentication levels are triggered for different risk levels, so that the high efficiency of low-risk transactions is ensured, and fine-grained privacy protection is provided for high-risk transactions.

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 a transaction processing method and device based on a block chain, a storage medium and electronic equipment, and the method comprises the steps: carrying out the hash operation of transaction content in a to-be-initiated transaction request, and obtaining a first hash value; if it is determined that the type of the stored signature algorithm private key is a first-stage classical encryption and anti-quantum encryption signature algorithm private key, signing the first hash value by using the anti-quantum encryption signature algorithm private key to obtain an anti-quantum first signature; splicing the first hash value and the anti-quantum first signature to obtain first spliced data, and performing hash operation to obtain a second hash value; signing the second hash value by using a classical encryption signature algorithm private key to obtain classical first signature data; fusing the anti-quantum first signature and the classical first signature data to obtain signature data; and carrying the signature data in a transaction request, and sending the transaction request to an access node on the block chain for processing. The transaction security can be 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 discloses a computer network security transaction optimization system, and belongs to the technical field of network transaction security. The system comprises an identity verification authorization module, a transaction request processing module, a security monitoring protection module, a transaction intelligent optimization module, a transaction auditing management module and a transaction report analysis module, protection is enhanced by analyzing a user behavior mode, additional verification is triggered when abnormality is detected, the risks of identity false use and fraud are reduced, and the safety of the transaction is improved. Network traffic is monitored in real time, potential attack behaviors are identified and blocked, through transaction request checking and dynamic request scheduling strict auditing, node loads are monitored in real time, transaction requests are intelligently scheduled, system overload or bottleneck is avoided, standby nodes are automatically started, stable operation under the high concurrency condition is guaranteed, and the system reliability is improved. The method enhances the adaptation to the increase of the transaction flow and the change of the network environment, improves the security, efficiency and transparency of the transaction through the transaction audit management and report analysis, and guarantees the stability and compliance of the financial transaction environment.

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 a real-time data acquisition and analysis method and a real-time data acquisition and analysis system for agricultural product digital transaction, and relates to the technical field of product transaction management. And a historical data set including key indexes such as price fluctuation, market demands, supply conditions and environmental factors is formed. The data are analyzed through the system, a data model is trained, the model can evaluate the advantages and disadvantages of transactions and potential risks according to the input data, and decision support is provided for investors and transactions in all stages. And then, the new data set is input into the model, the model rapidly outputs a transaction risk result of the new data set based on a historical learning result, risk levels are divided according to a preset threshold, and managers are helped to timely respond to market changes. And finally, through analogue simulation, a user can experience risk trends in different scenes, investment and operation strategies are optimized, and transaction security and efficiency are improved.

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.

Systems, methods, and apparatus for improving transaction security at a self-service kiosk are provided. A blank smart payment card may avoid storing sensitive identification data in an EMV chip or a magnetic stripe. The blank card may include a housing, with a wireless communication interface, microprocessor, and battery embedded in the housing. A card issuer may identify a dataset of sensitive information and apply dynamic clustering and encryption. The blank card may connect wirelessly to the issuer to obtain the encrypted clusters and store them in temporary storage. The blank card may self-authenticate to a kiosk by transmitting the encrypted clusters via a secure NFC connection. The kiosk may obtain a separate encryption key for each cluster from the issuer to decrypt and reconstruct the dataset. After every transaction, the issuer may apply new dynamic clustering to the dataset and replace the encrypted dataset stored on the blank card.

The invention relates to the technical field of digital transaction security, and discloses a digital product security transaction system, which comprises a feature extraction module, a risk calculation module, a dynamic verification module, a list generation module and a data updating module. Compared with the prior art that transaction risk assessment is carried out only through a static rule, and particularly under the complex conditions of multiple devices, cross-regions, multiple amount types and the like, abnormal transaction behaviors cannot be effectively identified and user requirements cannot be considered, due to introduction of dynamic risk verification, multi-dimensional feature fusion and a security recommendation mechanism, the transaction risk assessment method and device have the advantages that the transaction risk assessment efficiency is improved, and the user experience is improved. Accurate risk assessment, safe recommendation and efficient transaction verification are realized, so that the problems of risk misjudgment and transaction fraud caused by model staticization are avoided, and the security of digital product transaction is improved.

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.

This disclosure describes an intelligent fraud detections system that, as part of an inter-network facilitation system, can intelligently generate fraud predictions for digital claims to improve accuracy and efficiency of network-transaction security systems. For example, the disclosed systems can utilize a fraud detection machine-learning model to generate a fraud prediction for a digital claim disputing a digital transaction. Indeed, the disclosed systems can identify features of a digital claim and, based on those features, utilize a fraud detection machine-learning model to generate a fraud prediction for the digital claim. Additionally, based on the fraud prediction, the disclosed systems can perform authorizing, remedial, or other actions with regard to the digital claim.

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 discloses a cross-platform identity authentication and authorization method. The cross-platform identity authentication and authorization method comprises the following steps: S01, logging in an application program of a mobile terminal; s02, the user authorizes the PC client on the mobile device, and the PC client registers a temporary AK / SK to the identity authentication and authorization service through the mobile device; s03, the PC client uses AK / SK to generate JWS as a resource access token to initiate a service request to the service; s04, after the business service receives the business request, the JWS in the request is taken out to verify whether the token valid request and the association relationship are correct or not to the identity authentication and authorization service, and the JWS in the current request is recorded; and S05, after the verification is passed, the business service carries out business processing and records the resource access condition of the current AK. According to the method, the JWS token is dynamically generated and verified in real time, so that the token is effectively prevented from being stolen and reused, high-security cross-platform authorized access is ensured, and the transaction security 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 invention discloses a network security monitoring system and method, belongs to the technical field of network security, and aims to solve the technical problem of how to carry out network security detection on an online internet financial website. Comprising a network threat discovery subsystem which is used for analyzing a network attack sample of the Internet financial platform, extracting an event rule, carrying out routing inspection on the Internet financial platform, discovering a network threat event aiming at the Internet financial platform based on the event rule and a routing inspection result, and recording the network threat event; the website vulnerability scanning subsystem is used for carrying out asset detection and vulnerability scanning on the Internet financial website to find security vulnerabilities; and the mobile APP security detection subsystem is used for performing security detection and risk analysis on the Internet financial mobile application to discover security vulnerabilities and transaction security risks.

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.

The invention provides a transaction anomaly detection method, device and equipment for a financial system and a storage medium, and the method comprises the following steps: firstly, obtaining transaction data of each transaction account in the financial system, and building a transaction behavior model; secondly, extracting transaction features of each account, comparing the transaction features with a normal threshold value, and marking the features deviating from the threshold value as abnormal features; then, abnormal features are analyzed through a clustering algorithm, and the account with the high abnormal degree is defined as a suspicious account; and then, respectively defining the transaction type, the account and the data as nodes with different weights, and outputting the nodes to the suspicious account. Then, initializing node positions and obtaining a correlation weight sum; and iteratively updating node positions through a global optimization algorithm to maximize the sum of association weights, and finally determining an abnormal detection position. According to the invention, the abnormal transaction behavior in the financial system can be effectively identified and positioned, and the transaction security and the risk prevention and control capability are improved.

The invention provides an atomicity solution method and system for a block chain cross-chain transaction security anchoring problem, and the method comprises the steps: starting from each era, setting a witness committee at a receiving party block chain of a cross-chain exchange behavior, and keeping the right of the witness committee to redeem assets; according to the parameter data of the block chain, calculating a block chain security score and calculating a redemption difficulty; setting a current comment witness node as a part of an asset receiver to participate in the transaction through the smart contract; before the source chain sub-transaction reaches the security depth, monitoring the behavior of a transaction initiator through a witness node, and setting an attack judgment condition for a witness committee; and when the witness node triggers an attack judgment condition, dynamically adjusting the proportion of the witness nodes required by the redemption operation according to the redemption difficulty so as to realize asset redemption. According to the method, after the security difference between the block chains is fully considered, the atomicity condition which needs to be achieved by revoking the sub-transactions is formulated, and the defense of'roundabout attack 'can be completed by using relatively low computing resources.

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.