32 results about "Financial security" patented technology

The invention provides a multi-factor biological recognition and behavior feature fusion identity verification method and system, and the method comprises the steps: responding to any financial user at the entrance position of a corresponding financial place, carrying out the height comparison of the financial user and an entrance door frame, and obtaining a comparison result; the financial user is endowed with a corresponding first attribute based on a comparison result; responding to any financial user with the first attribute facing the ATM equipment in the equipment interaction circle corresponding to any ATM equipment, and giving a corresponding second attribute to the financial user based on the obtained posture information corresponding to the financial user; in response to the fact that the financial data card is inserted into the ATM equipment and the first attribute and the second attribute corresponding to the financial user correspond to the juvenile attribute, identity information corresponding to the financial user is obtained, and information verification is conducted on the identity information on the basis of pre-stored verification information corresponding to the financial data card. The financial security is at least improved.

Systems, methods, and computer program products for alerting a user of an anomaly concerning a publicly traded financial product, such as a publicly traded financial security with potentially upcoming volatility, include obtaining online chatter from one or more social media platforms associated with the publicly traded financial product posted over a first time interval, determining, at the end of the first time interval, an anomaly concerning the publicly traded financial product based at least in part on the online chatter associated with the publicly traded financial product, and responsive to determining the anomaly, providing an alert to the user. Determining the anomaly is based at least in part on historical data regarding online chatter associated with the publicly traded financial product from a prior time interval before the first time interval.

The application belongs to the technical field of financial security, and discloses a cross-institutional fraud detection method based on federated graph learning and oriented to privacy protection, which comprises the following steps: each participant constructs a transaction graph according to the transaction text description of the included account, and performs enhancement processing on the transaction graph to obtain an enhanced subgraph; each participant iteratively trains a graph Transformer using the enhanced subgraph until a local training end condition is reached, and uploads local model parameters of the graph Transformer to a central server based on a differential privacy mechanism; the central server aggregates the local model parameters of all participants to obtain global model parameters, and distributes the global model parameters to each participant; the global model parameters serve as initial model parameters for local training of each participant, and the federated training is repeated until a federated training end condition is reached. The application is more robust to cross-institutional, heterogeneous and sparse sample scenarios, and can reduce false negatives and false positives.

The utility model relates to the technical field of money binding machines, and discloses a punching device of a money binding machine, which comprises a rack, a rotating shaft and a transmission rod which are rotatably and transversely arranged on the rack, a melting belt punching head arranged in front of the rotating shaft and the transmission rod, and a driving mechanism used for driving the transmission rod to rotate, the rotating shaft and the transmission rod are connected with the melting belt punching head through a connecting rod structure, so that the melting belt punching head can move up and down, the melting belt punching head comprises a seat body, a melting hole head and a heating pipe, a mounting hole penetrating from top to bottom is formed in the seat body, and the melting hole head is inserted into the mounting hole of the seat body from top to bottom and is locked through a locking structure. The top of the hole melting head is integrally provided with a heat conduction sleeve for insertion of the heating pipe. According to the punching device of the money binding machine, the design of the replaceable hole melting head is adopted, the mounting hole is formed in the base body, the hole melting head can be conveniently inserted and pulled out and fixed through the locking structure, and the anti-counterfeiting requirements of upgrading along with financial security requirements and diversification of different customer groups can be easily met.

The embodiment of the invention provides an enterprise group relationship determination method and device, equipment, a medium and a product. The method comprises the following steps: pre-calculating enterprises in a daily pre-calculation list, generating a stock equity tree of the enterprises, storing the stock equity tree in a data table, and obtaining relation data corresponding to the stock equity tree when determining that the stock equity tree of a target enterprise exists in the data table based on a query request of the target enterprise, calculating a maximum stockholder corresponding to the target enterprise and each corresponding leaf node enterprise, determining whether the stock equity tree of each leaf node enterprise is missing in the data table, and if yes, performing layer-by-layer stock equity penetration on the missing leaf node enterprise to obtain the stock equity tree of the corresponding leaf node enterprise, and determining and outputting the group relationship of the target enterprise according to the stock equity tree of each leaf node enterprise. The method is used for achieving the effects of improving the comprehensiveness and reliability of the enterprise group relationship, improving the accuracy and effectiveness of enterprise credit granting and enhancing the financial security of banks.

The invention discloses an abnormal terminal device identification method and apparatus, and an electronic device. Relates to the field of financial security. The method comprises the following steps: acquiring multi-modal feature data of target equipment; the multi-modal feature data are input into M target clustering models respectively, M clustering results are obtained through processing, and each clustering result comprises a numerical value under a risk factor; and determining a risk score of the target device by using the M clustering results, determining a risk level represented by the risk score according to the risk threshold interval, and determining an abnormal state of the target device according to the risk level. According to the method and the device, the problem of relatively low identification accuracy of identifying the risk equipment by using the static identification information in related technologies is solved.

This application provides a smart management device for a financial USB key based on dynamic encryption, relating to the field of financial security equipment technology. It includes: a USB key body; an interface disposed at one end of the USB key body; a recess disposed on the interface; and a sliding cover containing an inner cavity, slidably disposed on the USB key body and covering the interface through the inner cavity. This application achieves both dynamic protection and stable insertion of the interface through the synergistic action of the sliding cover and an elastic element. When the device housing abuts against the sliding cover, it drives the elastic element into a semi-rigid state, pulling the rolling shaft to deform the spring sheet, forming a compression protrusion inside the device, making it difficult for the USB key to accidentally dislodge and ensuring a stable connection. When the sliding cover is closed, the structural characteristics of the elastic element enhance its sealing effect.

A method, apparatus and system are disclosed for providing a user with an indication of the user's financial security level. In order to achieve this, the user may be surveyed to provide information related to the user's attributes and current level of financial security. Based on the user's inputs, a financial security tool may generate a financial security score and monetary risk amount that provides an accurate interpretation of the user's financial security level.

The invention provides a money laundering risk analysis device and system, and relates to the technical field of financial security. In the application, a rule configuration module is used for generating a first review rule and a second review rule based on a rule configuration operation of business personnel for money laundering risk analysis business; the first review module is used for performing compliance review on the identity information of the reviewed person based on a first review rule to obtain a compliance review result of the reviewed person; the second review module is used for performing transaction risk review on the transaction information of the reviewed person based on a second review rule when the compliance review result represents that the identity information meets the compliance condition, and obtaining a multi-dimensional feature radar map of the reviewed person; and the risk analysis module is used for determining a money laundering risk analysis result of the examined person based on the multi-dimensional feature radar map and a preset money laundering risk community. Therefore, the dependence of money laundering risk analysis on manpower is reduced, and the efficiency of money laundering risk analysis is improved.

The invention discloses a process management method and device of a financial host, electronic equipment and a storage medium. The method comprises the following steps: establishing an information asset data lake corresponding to a target financial center; collecting process dynamic characteristics of a financial host in the target financial center based on the information asset data lake; generating a service fingerprint according to the process dynamic characteristics, and determining a three-level responsibility matrix according to the service fingerprint; and performing process management on the financial host based on the three-level responsibility matrix and the service fingerprint. Based on the technical scheme, the process dynamic characteristics of the financial host are collected, the corresponding service fingerprint is generated, the responsibility matrix is determined according to the service fingerprint, and process management is realized according to the responsibility matrix, so that the financial security defense line is enhanced, account-reality conformity of information asset management is realized, and the supervision efficiency is improved.

This invention discloses a customer identification and dynamic monitoring analysis system and method based on intelligent agents, belonging to the field of big data monitoring technology. The invention identifies structured transaction data in target customer transfer requests and assigns an independent code to each customer; it then filters out suspected risk data based on a first risk assessment condition; it calculates the correlation between suspected risk data and transaction data by weighting the correlation based on transfer time correlation, co-occurrence correlation, and interval correlation; and it distinguishes between risky and non-risky data based on a second risk assessment condition. Simultaneously, it sets an optimization cycle, adjusting the weights in the correlation calculation according to the risky data and the first risk assessment condition. This method can reduce false triggering rates, decrease manual and computational costs, dynamically adapt to risk characteristics, improve the timeliness of risk interception and the comprehensiveness of illegal transaction identification, and safeguard financial security.

This invention belongs to the field of intelligent monitoring technology for financial security, specifically involving an anomaly detection system and method for self-service financial service terminals and vault security facilities. The system includes: (1) a sensing end; (2) an edge processing layer; and (3) a central management layer. The method includes: S1, data acquisition and synchronization; S2, multimodal feature extraction; S3, dual-channel fusion and judgment; S4, rule engine enhancement and final output; and S5, alarm generation and intelligent linkage response. This invention achieves accurate identification of abnormal states, low false alarm reporting, and intelligent linkage response through spatiotemporal alignment, multi-level feature fusion, and rule-AI collaborative decision-making, thereby significantly improving the security protection level and automated management capabilities of financial physical facilities.

The present application relates to the field of financial security and biometric identification, in particular to a bank user identity verification method and system based on image recognition, comprising: obtaining a user's facial dynamic video and high-resolution iris image through a terminal; performing live detection and micro-expression analysis on the facial video to extract facial activity features, and performing texture enhancement and feature point positioning on the iris to extract iris structure features; fusing the two to generate an on-site biometric feature template, and comparing the template with a pre-stored registration template to generate a matching degree matrix; combining real-time transaction behavior and historical patterns to weight and calibrate the matching degree matrix, obtaining a calibrated score; determining the identity authenticity according to the comparison result of the calibrated score and the dynamic security threshold, and controlling account access and recording logs accordingly. The method enhances the anti-counterfeiting capability of live detection by analyzing micro-expression, and improves the adaptive security of identity verification for different risk scenarios through behavior context dynamic calibration.

The present application relates to the technical field of financial security payment architecture, and specifically relates to a technology transfer data source and face certificate method using a smart contract. The facial micro-expression sequence features of an operator are extracted, the Merkle tree root node hash value of a data packet is obtained, and the two are combined through XOR operation to generate a dynamic authentication factor and send it to the smart contract. The smart contract analyzes and separates the facial micro-expression sequence features and the Merkle tree root node hash value, and the facial micro-expression sequence features are issued to the off-chain federated learning network for live detection classification, and the Merkle tree root node hash value is compared with the on-chain historical data hash. When the live detection result is a real face and the hash comparison is consistent, the smart contract generates a state update instruction to modify the current transfer node to the face certificate state. The present application blocks the attack path of identity certificate and business data being stripped and reorganized, and overcomes the hidden danger of data source results being tampered with in the identity impersonation state.

The invention relates to the technical field of financial security and protection equipment, in particular to a security protection device based on over-the-counter transaction. And the barrier assembly comprises a barrier frame body, and the barrier frame body is arranged above the counter body. According to the safety protection device based on the over-the-counter transaction, by installing the barrier assembly, the barrier frame body can serve as a basic frame, the welding base in the barrier frame body provides a fixing foundation for the intercepting rod, meanwhile, tempered glass has high-strength and impact-resistant performance, the physical protection effect can be further enhanced, and the safety protection effect is improved. When the financial transaction counter works, a worker can press a start button above the sprayer, the sprayer internally provided with a pump body directionally sprays and disinfects a transaction groove area, the risk of cross infection is avoided, the comprehensive guarantee capacity of the financial transaction counter in the aspects of daily physical protection and transaction area hygiene disinfection is comprehensively improved, and the service life of the financial transaction counter is prolonged. And dual solid support is provided for the security and health of two transaction parties and the orderly development of transaction activities.

Systems, methods, and computer program products for alerting a user of an anomaly concerning a publicly traded financial product, such as a publicly traded financial security with potentially upcoming volatility, include obtaining online chatter from one or more social media platforms associated with the publicly traded financial product posted over a first time interval, determining, at the end of the first time interval, an anomaly concerning the publicly traded financial product based at least in part on the online chatter associated with the publicly traded financial product, and responsive to determining the anomaly, providing an alert to the user. Determining the anomaly is based at least in part on historical data regarding online chatter associated with the publicly traded financial product from a prior time interval before the first time interval.

1. The name of the design product: financial social security card system graphical user interface of electronic equipment. 2. The use of the design product: the design product is used for an electronic device. 3. The design points of the design product: the content displayed by the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The usual design is omitted, and the rear view, left view, right view, top view, and bottom view are omitted. 6. The use of the graphical user interface: to provide an interactive interface for instant social security card issuance function. 7. The human-computer interaction mode of the graphical user interface: the graphical user interface can interact through clicking the display screen. The front view is the main interface of the financial social security card system, which displays the main system functions. Clicking the corresponding system function can jump to the corresponding interface. Clicking the "social security card application" in the front view jumps to the social security card application operation interface "card issuance notice", and the interface change state diagram is displayed.

This application discloses a two-photon luminescent micro / nanomaterial, its preparation method, and its application. The two-photon luminescent micro / nanomaterial has the chemical formula shown in Formula I: [(Hdma)K(H2L)] n Formula I; wherein Hdma is a dimethylamine countercation, and H2L is a semi-deprotonated tetraphenylvinylcarboxylic acid ligand. The micro / nano luminescent material has a particle size distribution of 200 nm to 200 μm, exhibiting strong blue fluorescence and a strong two-photon emission effect. Compared with currently commercialized fingerprint recognition technologies, the two-photon luminescent micro / nano material described in this application has advantages such as faster response speed, higher resolution, stronger three-dimensional tomography capability, and greater imaging depth, making it of significant commercial application value in fields such as national defense security, financial security, and criminal investigation.

The invention discloses a financial settlement payment full-process automatic processing method and system, and relates to the technical field of enterprise financial processing. The method comprises the following steps: S1, order information analysis and standardized data stream generation; S2, rule matching and cost calculation; S3, settlement sheet generation and cross-system auditing; S4, payment confirmation and payment risk management and control; according to the invention, a payment risk pre-judgment module is integrated in a payment confirmation link, the module accurately recognizes excess payment, false payees and repeated payment risks by fusing historical transaction data, enterprise credit scores, real-time fund flow and other multi-dimensional information and utilizing a deep learning model, and once the risks are found, the payment risk pre-judgment module judges the payment risk once the risks are found. Freeze payment, manual review and early warning notification intervention processes are immediately triggered, fund loss is prevented, the fund safety guarantee capability of an enterprise is improved, and a regular risk redisk report is beneficial to continuously optimizing a risk management and control strategy and forming a closed loop of risk management and control.

The invention discloses a transaction session management method and device, a medium and equipment, and belongs to the technical field of financial security transactions. Comprising the steps of obtaining first session content of a transaction opponent terminal; according to a transaction opponent identifier and a transaction instruction identifier in the first session content, storing the first session content in a transaction session container corresponding to the transaction instruction identifier in an opponent session container corresponding to the transaction opponent identifier; the transaction instruction identifier of the first session content is used for identifying a transaction instruction for the first session content; and generating a second session content according to a plurality of session contents stored in a plurality of transaction session containers under the opponent session container corresponding to the transaction opponent identifier, and sending the second session content to the transaction opponent terminal.

The invention discloses a financial gang fraud tracing method based on a space-time fusion graph attention network (ST-GAT) and a dynamic consensus block chain, and belongs to the technical field of financial security and anti-fraud. Aiming at the problems of low core fraud account identification precision, poor cross-mechanism traceability efficiency, mismatching between block chain consensus and transaction load and the like in the prior art, a three-layer innovation scheme is provided: 1) a space-time fusion graph attention network (ST-GAT) is designed, space attention (account topological association) and time sequence attention (transfer time sequence) are fused, and core account feature discrimination is enhanced; 2) constructing a dynamic consensus block chain, switching Raft and Byzantine fault-tolerant consensus based on a transaction load threshold, and considering uplink efficiency and traceability credibility; and 3) establishing a double-closed-loop traceability mechanism, and realizing a business closed loop of block chain evidence storage-ST-GAT identification-intelligent contract traceability and an optimized closed loop of traceability result write-back-model increment updating. According to the method, through five core steps of alliance chain construction, space-time transaction graph generation, ST-GAT training, gang identification and intelligent contract traceability, in combination with bogus transaction filtering and dynamic consensus scheduling, core gang accounts in scenes of telecommunication fraud, cross-border money laundering and the like can be accurately identified, the traceability efficiency and identification precision are significantly improved, and the method is suitable for popularization and application. And collaborative anti-fraud requirements of cross-bank, payment platforms and supervision organizations are met.

The invention provides a transaction security monitoring method and device and related equipment, and relates to the technical field of financial security. The method comprises the following steps: acquiring a curvature of a target user in a transaction graph network, a transaction period of each transaction chain and a transaction time interval between transactions; obtaining feature information of the transaction graph network according to the curvature of the target user, the transaction period of each transaction chain and the transaction time interval between the transactions; and determining the security level of each transaction according to the feature information, wherein the security level is used for indicating whether the transaction is an abnormal transaction. According to the scheme, the problem of low processing efficiency in the existing scheme is solved.

The invention provides a large model security evaluation method based on multi-modal confrontation and defense for the financial field, and the method comprises the steps: S1, constructing a modal-attack-defense three-dimensional evaluation model for the financial security field according to an operation mechanism of a typical security transaction system in the financial field; s2, building a large-model security test system architecture based on multi-modal confrontation defense by adopting a layered architecture and modular design idea; s3, constructing an evaluation scene task generator, and generating or reproducing a typical security transaction system evaluation scene in the financial field in a topological arrangement form; s4, deploying a controllable and reproducible special security transaction evaluation sandbox environment on the basis of the evaluation scene generated in the step S3 on the basis of large-model multi-modal fusion detection and a network security test evaluation technology; and S5, constructing an effect evaluation system, and performing quantitative and qualitative analysis on execution results of the evaluation tasks in the environment in the step S4.

Embodiments of the present application disclose a risk identification method and device, electronic equipment and a storage medium, the method comprising: extracting a first low-dimensional transaction feature of real-time transaction data of a target transaction; inputting the first low-dimensional transaction feature into a target risk identification model comprising a long short-term memory network, a switched linear dynamic system and a deep hidden Markov model to obtain a risk identification result of the target transaction. Through the cooperation of the deep hidden Markov model and the switched linear dynamic system, embodiments of the present application can mine hidden states representing transaction behavior patterns, break through the bottleneck of traditional methods in complex money laundering mode identification, and achieve a risk identification effect of "high precision, low false alarm and strong adaptation", providing more reliable anti-money laundering decision support for financial institutions, effectively curbing the inflow of money laundering funds into the legal financial system, and protecting financial security and market order.

This application relates to the field of artificial intelligence technology, providing a target detection method, apparatus, electronic device, and storage medium. It detects targets in video frames, generates target bounding boxes, and then checks if the target bounding boxes exist in preceding and following video frames. If not, it generates first detected bounding boxes in the preceding and following frames and calculates their correlation with the real target bounding boxes. If the correlation indicates that the current video frame is a hard example, it adds the video frame to the hard example set. The hard example set is sent to a server to obtain model update data. After obtaining the update data, the model is updated, and the updated model is used for video stream detection. According to this application, the target detection model's ability to identify targets and its robustness in identifying targets in environments with similar objects can be improved. This application can be applied to financial scenarios to improve the reliability of financial security.

The utility model relates to the technical field of security teaching aids, and discloses a folding teaching frame for financial securities, which comprises a bottom frame and a winding drum arranged on the upper surface of the bottom frame, the winding drum is fixedly connected with the bottom frame, and a winding shaft is rotatably connected between the left end and the right end of the winding drum. According to the folding teaching frame for financial securities, the flexible lamp strips are combined with the arrayed LED lamp beads, rapid drawing display of different K line entity colors and lengths is achieved, male lines and female lines are visually distinguished, physical boundaries formed by the flexible connecting strips are matched, students can rapidly recognize the classical K line combination form, the tedious process of traditional hand drawing is avoided, and then the teaching frame is convenient to use. When the protection box is folded and closed, the winding drum and the flexible teaching board are completely wrapped, when the protection box is not used, the occupied area is reduced, meanwhile, the flexible teaching board can be protected, the height and the orientation angle of the flexible teaching board can be adjusted through the arrangement of the height of the supporting legs and the arrangement of the damping rotating shafts, the overall flexibility is improved, and the use requirement in the non-winding environment is met.

The application provides a multi-dimensional anti-fraud and risk control auditing method and system for large transaction, relates to the technical field of financial security, and comprises the following steps: extracting multi-dimensional features by segmenting historical data of both parties of a transaction, combining wavelet transform to decompose a transaction amount sequence, and constructing a behavior probability distribution model; obtaining device environment data to calculate a device credit score; utilizing dynamic causal reasoning to fuse and calculate an initial risk score; when the risk score exceeds a warning threshold, generating a transaction verification question and adopting a progressive active learning verification method to evaluate the risk; and finally determining a risk control strategy according to the risk score. The application improves the risk identification accuracy of large transactions and reduces the false interception rate.

The invention discloses a financial security intelligent audio management system and method based on the Internet of Things, and relates to the technical field of security monitoring, and the method comprises the steps: collecting and preprocessing original audio stream data through a distributed audio sensing node, and generating a structured feature data packet; the edge intelligent analysis unit receives and deeply recognizes the data packet, and event semantic description is generated; the cloud collaborative management platform gathers and analyzes a plurality of event semantic descriptions, and generates a linkage control instruction; the security linkage execution module drives the video monitoring subsystem, the alarm subsystem, the access control subsystem and the broadcast subsystem to execute a cooperative response action according to the instruction; the system comprises a distributed audio sensing node, an edge intelligent analysis unit, a cloud collaborative management platform and a security linkage execution module. According to the invention, millisecond-level quick response can be realized, the false alarm rate is reduced, the cooperation efficiency of multiple security and protection subsystems is improved, and the security and privacy of audio data are ensured.

This invention relates to the fields of financial technology and risk management technology, specifically to a digital financial securities fraud identification and risk control decision-making method integrating knowledge graphs. The method includes: S1, acquiring multi-source heterogeneous behavioral data from the securities market, performing structured analysis on the behavioral data, and generating behavioral graph units composed of events and relationships; S2, dynamically connecting multiple behavioral graph units according to time and logical rules to construct a continuous behavioral narrative; S3, matching the behavioral narrative with risk patterns in a pre-set risk pattern library, determining the risk level based on the matching results, and generating corresponding handling instructions. This invention, by comparing behavioral data with risk patterns and calculating the matching degree, allows risk judgment conclusions to be traced back to specific entity behaviors, event sequences, and logical connections, providing a transparent chain of evidence and enhancing the credibility of monitoring results in risk decision-making and supervision.

The application relates to the field of financial security, and discloses a financial security intelligent power management system and method based on the Internet of Things, which comprises the following modules: an intelligent sensing module, which is used for monitoring the operation parameters of the power supply of financial security equipment in real time and processing the operation parameters; a power regulation module, which is used for stably supplying power to the security equipment and can adjust the power output according to the monitoring data; a communication module, which is used for data transmission in different environments; a security protection module, which is used for protecting the system against external attacks and realizing the data security of the system; a data storage and management module, which is used for storing and managing the collected operation data; a situation awareness and early warning module, which can predict potential fault risks in advance and send early warning signals; and a remote interaction and control module, which provides an operation interface for users, so that the users can remotely monitor and operate. The application can improve the reliability, safety and intelligent level of the power management of financial security equipment.