1545 results about "Transaction data" patented technology

The invention relates to the technical field of financial data security, and discloses an intelligent ERP financial system data security management and authentication method. The method comprises the following steps: acquiring an original transaction data stream in an ERP system, extracting key financial fields, and dividing the key financial fields into a sensitive data set and a common data set according to a preset rule; a dynamic encryption strategy framework is constructed based on sensitive data set attributes, the framework comprises multiple levels of encryption strength parameters, and the corresponding encryption strength can be automatically matched according to the authentication level of an access request. And monitoring a system data access behavior in real time, collecting feature data, inputting the feature data into the anomaly detection model, and triggering access blocking when an output anomaly access probability exceeds a threshold value. And generating a periodic integrity verification instruction according to the sensitive data updating frequency, performing integrity verification by using a hash chain technology, recording a result and marking a tampering risk level. And based on the association relationship between the tampering risk level and the abnormal access probability, generating an updated security policy and synchronizing the updated security policy to each data access node.

The invention is suitable for the technical field of data asset management, and provides a data asset management system based on a block chain and big data analysis, and the system comprises a first terminal which carries out the storage of the ownership information of data assets through a block chain network, and generates a storage data package; generating an evaluation result based on a preset technical index analysis model; writing the hash value of the evaluation result into transaction data of the main chain of the block chain, and generating an evidence storage voucher matched with the block chain transaction; an interaction data sequence is packaged for identity signature, encryption and compression to generate a target code stream, and the target code stream is sent to the second terminal; the second terminal decrypts the encrypted data in the target code stream by using a private key, decompresses the data by using a compression algorithm matched with the first terminal, and restores the data into an interactive data sequence; verifying the access authority and the transaction condition of the evidence storage data packet; checking the anchoring state of the evidence storage voucher on the main chain of the block chain; and the data transaction is completed, the data asset state report is generated, and the data element marketization configuration efficiency is improved.

The invention provides a fund flow abnormity intelligent early warning analysis method, and relates to the technical field of data processing, and the method comprises the steps: obtaining transaction data of a target account in a continuous time interval; semantic feature extraction is carried out, and a fund semantic unit set is generated according to a transaction initiator, a transaction receiver and a business type; performing causal correlation calculation on adjacent fund semantic units to determine behavior causal strength; when the behavior causal intensity is lower than a preset causal threshold value, marking the corresponding time period as a behavior fault region; performing context reconstruction on the account set in the behavior fault area; executing mode deviation analysis, and identifying fund flow modes with abnormal aggregation or reverse backflow characteristics; performing self-learning updating on the abnormal threshold weight of the initial judgment model to obtain a corrected judgment model; detecting subsequent transaction data according to the corrected judgment model, and generating fund flow abnormity intelligent early warning information; according to the invention, autonomy and accuracy of fund flow abnormity intelligent early warning analysis are improved.

The invention discloses a digital asset management method and device, equipment, a storage medium and a program product, and the method comprises the steps: carrying out the hash calculation of transaction data when a super SIM card receives a transaction request carrying transaction data sent by first equipment, and generating a transaction hash value; performing hierarchical signature on the transaction hash value through a preset signature algorithm, and triggering personal identification code authentication of the user so as to release signature data of the hierarchical signature after the personal identification code authentication is passed; and sending the verification abstract of the personal identification code and the signature data to a block chain network, so that the block chain network verifies the signature data, stores the signature data after verification is passed, and returns a transaction confirmation event to the first device. According to the embodiment of the invention, the super SIM card is used as a security carrier, and the transaction data hash calculation, the hierarchical signature and the personal identification code authentication are combined, so that the whole-process security protection of the digital asset transaction is realized, and the security of the digital asset transaction can be effectively improved.

The invention discloses a trusted data sharing method based on a block chain consensus mechanism. The method comprises the following steps: S1, constructing an alliance chain network; s2, completing KZG polynomial commitment generation, ML-KEM algorithm encryption storage and pointer registration; s3, the data provider medical institution completes an evidence storage transaction of the FROST threshold signature; s4, the target medical institution completes the access request transaction; s5, the data provider medical institution sends a KZG unpacking proof and a data item, the target medical institution obtains a storage pointer and a commitment value, KZG verification check is executed, and after verification is passed, an ML-KEM algorithm is executed for depacking to obtain a session key; and S6, the target medical institution completes the audit transaction, and after the alliance chain network broadcast, the consensus node executes rule verification of the access control contract and the audit contract. The multi-node electronic medical record sharing and tamper-proof evidence storage method is high in performance and traceability, and is suitable for credible circulation of sensitive health data among multiple medical institutions.

Embodiments provide artificial intelligence methods and systems for evaluating vulnerability risks of issuer authorization system. Method performed by a server system includes accessing a set of payment transaction data including subset of fraudulent transaction data. Method includes generating via a machine learning model, set of synthetic transaction data based on the subset of fraudulent transaction data. Method includes accessing set of historical card velocity features and collating the set of synthetic transaction data and the set of historical card velocity features to generate set of enriched synthetic transaction data. Method includes extracting via a classifier, subset of feasible fraudulent transaction data from the set of enriched synthetic transaction data. Method includes generating simulated authorization model based on the set of payment transaction data. Method includes classifying via simulated authorization model, each enriched synthetic transaction from the subset of feasible fraudulent transaction data as one of fraudulent transaction and non-fraudulent transaction.

The invention provides a multi-mode hybrid expert model electricity transaction data processing method and system, a storage medium and electronic equipment. The method comprises the steps of collecting multi-source heterogeneous data in an electricity market environment; extracting multi-modal features of the multi-source heterogeneous data, and performing dynamic weighted fusion to obtain fusion features, wherein the multi-modal features comprise time sequence features, meteorological features, image features, text features and market features; different expert models including a load prediction model, a price prediction model, a risk assessment model and a strategy optimization model are allocated for processing and analysis results are obtained according to the fusion features; and generating output data in combination with the analysis result, wherein the output data comprises a service instruction and an analysis report. According to the method, the power transaction prediction precision is remarkably improved, the reasoning delay is greatly reduced, the dynamic adaptive capacity and a closed-loop self-evolution mechanism are achieved, the decision interpretability and the system robustness are enhanced, and the strict requirements of the power market for high precision, real-time performance and stability can be met.

The invention relates to the technical field of block chains, and particularly discloses a virtual article secure transaction method, device and system, a medium and a server. The method relates to a mobile terminal, a proxy server and an issuing server, is executed by the proxy server and is used for receiving encrypted ciphertext transaction data sent by the mobile terminal and transmitting the data to the issuing server, so that the issuing server issues a virtual article corresponding to the transaction data obtained by decryption to the mobile terminal, and after the issuing server issues the virtual article, the virtual article is sent to the mobile terminal. And the proxy server and the issuing server carry out account checking. According to the method, the transaction data is encrypted by using the fully homomorphic encryption algorithm in the data transmission process, it is ensured that the proxy server cannot obtain plaintext transaction data, and account checking is performed by the proxy server and the issuing server, so that the problem of non-uniform bills is solved.

The invention relates to an electricity market price difference prediction method and system based on dynamic similar day matching. The method comprises the steps of obtaining electricity transaction data; processing the power transaction data to obtain a bidding space index and a price difference direction index; calculating the similarity between the day-ahead electric power spot price data and the real-time electric power spot price data; calculating a comprehensive similarity index according to the similarity; screening out data of the comprehensive similarity index in a set range to form a similar day set, and training a price difference classification prediction model by using the similar day set; and predicting the spot price difference direction of a prediction day by using the price difference classification prediction model. According to the method, training data samples are screened through a similarity algorithm, the over-fitting risk caused by invalid data volume is reduced, then the influence of extreme prediction of an individual algorithm is reduced through model diversity, and finally a robust probabilistic price difference direction prediction result is output.

The invention relates to the technical field of cross-border trade settlement, and discloses a cross-border trade settlement risk prevention and control system based on a block chain smart contract, and the system comprises a regional network which serves as a distributed account book infrastructure and is used for storing and sharing the transaction data of all participants; the cross-border trade settlement risk prevention and control system comprises a block chain intelligent contract, a trusted data acquisition and uplink module used for acquiring and verifying off-chain entity trade data and uploading the verified trusted data to a local area network, and the off-chain entity trade data comprises logistics information sensed by Internet of Things equipment. The problem of traditional cross-border trade settlement pain points can be effectively solved, and fraud is prevented and controlled in the whole process by means of dual verification and intelligent contracts; a sharing platform is constructed through the block chain, an information island is broken, the settlement efficiency is greatly improved, and data security and traceability are guaranteed.

The embodiment of the invention discloses a data transfer processing method and device, a storage medium and electronic equipment, and the method comprises the steps: determining a target data buffering demand in a planning period, obtaining initial transmission limit data associated with a plurality of data source nodes, a transaction data transfer rule and data transfer flow information, based on the target data buffer demand, the data transfer pipeline information, the initial transmission limit data and a transaction data transfer rule, executing data transfer task analysis on the transaction transfer request by adopting a target multi-mode large model to obtain a plurality of candidate data transfer execution packets meeting the target data buffer demand, and performing target scheme generation processing on the candidate data transfer execution packet according to a preset data transfer scheme constraint target to generate a target data transfer scheduling scheme for distributing each candidate data packet to different time points in a planning period, so that the intelligent degree of data transfer processing can be improved.

The invention provides a building industry finance and tax compliance digital evidence chain integrated platform which is deployed based on a cloud computing architecture and comprises a distributed server cluster, a network communication module and a database storage system. By constructing the integrated digital platform, fundamental efficiency improvement and risk management and control reinforcement of finance and taxation management in the building industry are realized, the platform enables a data acquisition process to be highly automatic, manual repeated entry work is greatly eliminated, financial personnel are liberated from tedious account checking, and the financial personnel are greatly improved. The compliance check module based on a rule engine and artificial intelligence can perform real-time and comprehensive automatic analysis on all transaction data, significantly improves the identification accuracy and timeliness of potential compliance risks, realizes instant alarm, converts passive risk response into active risk response, and improves the risk handling efficiency. Compared with a traditional manual mode, the data processing speed is improved in order of magnitude, the monthly checkout and report generation time is greatly shortened, the enterprise decision cycle is remarkably accelerated, and the overall operation efficiency is improved.

The technology described herein relates to systems, methods, and computer storage media, among other things, for determining whether an electronic transmission (e.g., associated with an electronic payment transaction) should be blocked (e.g., based on being a fraudulent transaction). In embodiments, a policy-based reinforcement learning risk decision agent is used to make these determinations for a plurality of stages associated with the electronic payment transaction (e.g., a pre-authorization stage, a post-authorization stage, and a delay-captured stage). The policy-based reinforcement learning risk decision agent can be trained using previous electronic payment transaction data for previous electronic payment transactions. For example, this particular agent can be trained using pre-authorization electronic payment transaction data, post-authorization electronic payment transaction data, and delay-captured electronic payment transaction data for each of the previous electronic payment transactions.

The invention provides a supply chain transaction credit data risk management method and device, and belongs to the technical field of supply chain management. The method provided by the invention comprises the following steps: acquiring credible data; verifying the authenticity of the credible data, performing cleaning, standardization and association processing on the verified data, and constructing a multi-dimensional feature variable; based on the multi-dimensional characteristic variables, through relation graph analysis, machine learning model operation and rule engine judgment, fraud identification, credit scoring, credit line calculation and differentiated interest rate pricing are carried out, and a comprehensive risk assessment result is output; taking the comprehensive risk assessment result as a reference, monitoring key links of supply chain transactions in real time, comparing latest transaction data with the reference, triggering corresponding early warning and automatic disposal actions according to an abnormal level, and recording a disposal process and a result to form feedback data; and comparing the evaluation feedback data with a historical prediction result, and performing iterative optimization on the machine learning model and the multi-dimensional feature variable construction process by using the feedback data.

The invention is suitable for the technical field of data processing, and particularly relates to a financial data processing and classification method, system and equipment based on verifiable computing, and the method comprises the steps: obtaining on-chain transaction data verified by a block chain consensus node storage and risk-related index data verified by an under-chain oracle machine; the problems that the authenticity of traditional financial data is difficult to verify and the data is split are solved; calling a risk assessment model through an intelligent contract deployed on a block chain, and placing an assessment process in a decentralized block chain network; performing verifiable calculation through an intelligent contract to determine a total performance score and a risk index, and realizing whole-course tracing and verification of a calculation process by utilizing the characteristics of verifiable calculation of a block chain; the total performance score and the risk index are stored in the block chain as non-tampering records, and the risk rating groups are automatically divided according to the fixed rating rule on the chain through the smart contract, so that the authenticity, objectivity, verifiability and fairness of financial data processing are guaranteed.

The invention relates to the technical field of verification, in particular to a transaction verification method and device in PCIe and a computer program product, and the method comprises the steps: monitoring transaction data in a PCIe bus, capturing the transaction data, and forming a monitoring queue; determining attributes in the transaction data in the monitoring queue; and performing matching verification on the attribute information and target attribute information to obtain a verification result. The method provided by the invention is an automatic verification mode, so that the requirement on manual inspection is reduced, misjudgment caused by human negligence can be avoided, the verification accuracy is improved, and the risk of missing potential system vulnerabilities can be reduced; moreover, the automatic verification mode in the application can reduce the time spent on verification, improve the verification efficiency, accelerate the verification process of the PCIe project, and save time and labor cost.

The invention provides a software and hardware integrated intelligent terminal power transaction system and method, relates to the technical field of power market transaction, and solves the technical problems of data potential safety hazards and insufficient real-time performance caused by dependence on an external platform in a power transaction process in the prior art. The system specifically comprises a hardware architecture and a software function module, the hardware architecture comprises a processor, a redundant power supply, a storage device, a network interface, a security encryption chip and a display interface; the software function module comprises a core function layer, an interface layer and a security layer; wherein the core function layer is used for being responsible for processing and controlling the whole flow of power transaction; the interface layer is used for carrying out standardized and ordered external data interaction; and the security layer is used for guaranteeing the security of the terminal from multiple dimensions of communication, transaction, data and operation and maintenance. The method is used for electricity market transaction.

A system for generating a bill of materials comprising one or more product recommendations aligned with customer requirements, comprises a bill of materials processing device. The bill of materials processing device is configured to execute an AI-based recommendation engine. The recommendation engine is configured to receive customer data from one or more user inputs, retrieve product data from a product data source, and retrieve transaction data from a transaction data source. The recommendation engine includes a pre-processing module, training module, and inference module. The pre-processing module executes one or more pre-processing techniques to translate the data into a program-compatible format. The training module executes training and inference processes to generate the bill of materials. The training processes put the data in better condition for the inference module. The inference module uses two or more product recommendation processes to evaluate the data and to generate the BOM in a machine-readable format.

The invention relates to the technical field of electric power transaction data processing, and discloses an electric power spot transaction data time sequence mining method capable of representing market fluctuation characteristics, which comprises the following steps: executing variational mode decomposition on electricity price data, and locking a probability density trough by using kernel density estimation to determine a dynamic shunting threshold value; according to the method, self-adaptive boundary locking in a non-stationary environment is realized by utilizing a data topology form, invalid feature interference is blocked through mutual information causal gating, and the adaptive boundary locking in a non-stationary environment is realized by utilizing a linear extrapolation model and a multi-head attention mechanism in which a causal mask is introduced. The contradiction between mean regression and peak capture of a traditional model is solved, and the effectiveness of a prediction result is improved.

Described embodiments relate to determining a candidate financial record associated with a transaction between a first accounting entity and a second entity, and determining, using a numerical representation generation model, a numerical representation of the candidate financial record, the numerical representation generation model having been trained on a corpus generated from historical transaction records. The method further comprises providing, to a transaction attribute prediction model, the numerical representation of the candidate financial record, the transaction attribute prediction model having been trained using a dataset of previously reconciled financial records, each associated with a respective first transaction attribute; and determining, by the transaction attribute prediction model, at least one first transaction attribute associated with the candidate financial record.

The invention belongs to the technical field of power transaction management, and particularly relates to an MCP-based power transaction aid decision-making method, which comprises the following steps of: receiving and standardizing a user request through an MCP client layer; the MCP arrangement gateway analyzes the request, and dispatches and activates a corresponding MCP server agent group; the agent group obtains power operation data, historical transaction data, prediction model data and policy support information by calling the service API group, and completes data processing and task execution; the arrangement gateway integrates, verifies and formats the processing results of the intelligent agents; and finally, feeding back a unified response result to the user. According to the invention, standardized interaction and context sharing among multi-source data, heterogeneous models and business functions are realized through the MCP protocol, a modularized and extensible agent collaborative decision framework is constructed, and the efficiency, accuracy and policy compliance of power transaction decision are effectively improved.

The Computationally Efficient Transfer Processing, Auditing, and Search Apparatuses, Methods and Systems (“SOCOACT”) transforms smart contract request, crypto currency deposit request, crypto collateral deposit request, crypto currency transfer request, crypto collateral transfer request inputs via SOCOACT components into transaction confirmation outputs. Also, SOCOACT transforms transaction record inputs via SOCOACT components into matrix and list tuple outputs for computationally efficient auditing. A blockchain transaction data auditing apparatus comprises a blockchain recordation component, a matrix Conversion component, and a bloom filter component. The blockchain recordation component receives a plurality of transaction records for each of a plurality of transactions, each transaction record comprising a source address, a destination address, a transaction amount and a timestamp of a transaction; the source address comprising a source wallet address corresponding to a source digital wallet, and the destination address comprising a destination wallet address corresponding to a destination virtual currency wallet; verifies that the transaction amount is available in the source virtual currency wallet; and when the transaction amount is available, cryptographically records the transaction in a blockchain comprising a plurality of hashes of transaction records. The Bloom Filter component receives the source address and the destination address, hashes the source address using a Bloom Filter to generate a source wallet address, and hashes the destination address using the Bloom Filter to generate a destination wallet address. The Matrix Conversion component adds the source wallet address as a first row and a column entry to a stored distance matrix representing the plurality of transactions, adds the destination wallet address as a second row and column entry to the stored distance matrix representing the plurality of transactions, adds the transaction amount and the timestamp as an entry to the row corresponding to the source wallet address and the column corresponding to the destination wallet address; and generate a list representation of the matrix, where each entry in the list comprises a tuple having the source wallet address, the destination wallet address, the transaction amount and the timestamp.

The invention discloses a block chain-based transaction data verification method and device, and an electronic device, and relates to the technical field of block chains, the verification method comprises the following steps: for each transaction processed by each node, based on a preset strategy evaluation model, determining a target encryption strategy for transaction data of the transaction; based on the target encryption strategy, encrypting transaction data of each transaction to obtain encrypted transaction data; generating a zero-knowledge proof for each encrypted transaction data, and generating a recursive proof of each node based on all the zero-knowledge proof; and verifying all transaction data of each node based on recursive proof. According to the invention, the technical problem that the verification efficiency of a large amount of transaction data is low in the prior art is solved.

The embodiment of the invention discloses a block chain-based data processing method and device, node equipment and a storage medium, and the method comprises the steps: obtaining transaction data of a target transaction, wherein the transaction data comprises the content data of the target transaction and the strategy data of the target transaction; the policy data is used for indicating at least one node device having an execution authority for the target transaction in the block chain network; synchronizing the policy data to each node device in the block chain network, and sending the content data to a second node device having an execution permission according to the indication of the policy data, so that the second node device executes the content data based on the execution permission; receiving an execution result of the second node equipment on the content data, and generating a transaction proposal according to the execution result; and the transaction proposal is broadcasted to the block chain network for consensus processing, so that the security of the transaction data with data privacy in the block chain network can be ensured.

The invention provides a normalized lane charging system and charging method for a highway toll station, and relates to the technical field of intelligent traffic. According to the method, a system lane front-end function module is arranged at the front end of a lane of a toll station and used for directly interacting with vehicles in the lane, collecting vehicle information and executing a control instruction; the edge node processing module is arranged at an edge node of a toll station level, and is used for processing transaction data and picture information from the lane front-end function module based on a virtualization technology, and carrying out collaborative management on multiple pieces of lane service data under the condition that the edge node processing module is matched with the cloud service management module; and the cloud service management module is deployed at a cloud end and is used for carrying out unified management on the charging services of the plurality of toll stations. The system can decouple business processing and equipment control by adopting a cloud-side-end system architecture, and improves the lane passing efficiency.

A system and method for conducting secure debit and credit card electronic financial transactions involving NFC card reading using a computer device includes the steps of identifying, by a computing system, a first payment source account held by a card holder; receiving, by computing system, transaction data associated with a transaction initiated by the cardholder with a merchant using the first payment source account, the transaction having a transaction amount; requesting, by a computing system, via a first network a first transfer of the transaction amount from the first payment source account within a predetermined time; determining a card status; storing the meta data associated with the transaction in a database wherein the meta data includes at least the card status; if the card status is card-present status, converting the card-present status into card-not-present status by virtue of the NFC card reading process using a computer device having an NFC card reading capabilities; and transferring the transaction amount to pay the merchant.

A fraud detection system preemptively identifies and mitigates fraudulent financial transactions in real-time across a diverse range of digital and physical transaction sources. Transaction data may be acquired from various platforms and categorized into rule sets specific to transaction types. Categorized data is aligned with existing risk profiles to construct a dynamic hysteresis model. This model, evaluated by a decision tree algorithm, identifies potential fraud by integrating immediate transaction details with a comprehensive historical data analysis, thus enabling advanced trend analysis and pattern recognition. Key features identified by the decision tree are used to form a heuristics model, which is then analyzed by a transformer network risk model. A feedback loop enhances the system's effectiveness by incorporating decision outcomes back into the model training server, thus refining the training dataset and continuously improving the accuracy of the risk model.

The invention provides a transaction data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring the market information of an electric power spot market in a current period, declaration strategies of a plurality of users and execution return in a previous period; performing priority ranking on the users based on the strategy and the market information to obtain a ranked user sequence; obtaining a target order of the user based on a standard price determined by the market information and the strategy, a price change step length and a transaction electric quantity in the strategy and the user sequence; carrying out comparison processing on the target order and the hung order executing the return to obtain a comparison result; and generating an order execution operation in the current period based on the comparison result, the target order and the hung order. According to the method, aggregation and account-level concurrency control in a period can be realized, so that stable throughput and low jitter can be kept under multiple parallel users, and high concurrency stability in a transaction data processing process is improved.

The invention provides a mobile payment end-to-end encryption communication method based on anti-quantum computing, and the method comprises the steps: obtaining payment transaction data of a client, splitting the payment transaction data according to payment fields, binding a corresponding user operation behavior tag for each payment field, and generating a field behavior pair; encrypting by using an anti-quantum encryption algorithm to generate a disturbance encryption ciphertext set; combining the disturbance encryption ciphertext set with the user operation behavior label and the channel number to form a structured ciphertext unit, and transmitting the structured ciphertext unit to a server; and determining whether the decrypted payment field and the user operation behavior tag conform to a predefined legal transaction process, if so, executing the transaction, and otherwise, refusing the transaction. Through the collaborative design of coding, replacement, encryption, label verification and inverse replacement decryption, anti-quantum security and transaction behavior control are deeply fused, the deployability and reproducibility of the scheme are ensured, and the overall security level of mobile payment is remarkably improved under the existing hardware condition.

This application relates to a method and system for automated intelligent transaction monitoring, circuit breaking, and rapid recovery. The scheme includes: a data acquisition module configured to collect transaction data in real time, the transaction data including various indicator data; an intelligent anomaly detection module configured to evaluate the health score of the order transaction system based on the collected indicator data and predefined rules; and a dynamic circuit breaking and recovery decision module configured to automatically trigger different levels of circuit breaking mechanisms based on the severity of detected anomalies and a circuit breaking strategy set according to the scenario, while also providing a corresponding gradual recovery mechanism.