26results about How to "Improve audit efficiency" patented technology

The invention discloses an audit domain knowledge graph ontology framework construction method based on a large language model, which comprises the following steps: collecting audit domain related data, and preprocessing the collected data; pre-training the large language model by using the preprocessed audit field related data; based on an existing general entity extraction and relation extraction data set, performing fine adjustment on the pre-trained large language model; performing knowledge extraction on the audit field text data preprocessed in the first step by using a large language model to obtain a knowledge extraction result of the audit field; performing standardization processing on a knowledge extraction result; and based on the knowledge extraction result after standardization processing, constructing a knowledge graph ontology framework in the audit field. According to the method, the knowledge of the auditing field can be automatically extracted, summarized and sorted, and a set of complete auditing field knowledge graph ontology framework is formed.

The invention relates to the field of legal service management, and discloses a legal service management system based on a block chain, and the system comprises the following modules: a block chain network, an intelligent contract module, a data storage module, a user interface module, a feedback and monitoring module and a user management module, the non-tampering property and the transparency are ensured; the intelligent contract module automatically executes contract terms and supports intelligent management; the data storage module adopts a hierarchical structure, and on-chain data and off-chain data are stored in a distinguished manner, so that the storage and access efficiency is optimized; and the user interface module provides user-friendly operation experience through a visual tool. By using the block chain technology, all contract execution and compliance audit data are encrypted and stored in a distributed mode, it is ensured that tampering is avoided and whole-course traceability is achieved, and a user and related mechanisms can verify the authenticity and integrity of the contract data at any time.

The invention relates to the field of auditing systems, in particular to a user desktop behavior auditing method and system based on YOLO and LSTM, and the method comprises the steps: obtaining desktop video data to make a training data set; training a user desktop behavior auditing model by adopting the data set after data enhancement; acquiring real-time video data, and analyzing the real-time video data frame by frame by using the trained user desktop behavior auditing model; predicting an operation behavior trend of the user according to the analyzed real-time video data; the prediction result is verified; and converting the verified prediction result into a structured log. According to the method, modeling is carried out on the time sequence data by using the long-short-term memory network, and a YOLOv8 deep learning framework is combined, so that the system can identify specific software used by a user, and can deduce the task type executed by the user, thereby remarkably improving the behavior identification accuracy and improving the auditing efficiency.

The invention relates to the field of road traffic, in particular to a highway automatic auditing method aiming at the inconsistency of a charging path and an actual passing path, and aims to overcome the defects in the background technology so as to improve auditing efficiency, accuracy and real-time performance. According to the technical scheme of the invention, the highway automatic auditing method for the inconsistency between the charging path and the actual passing path comprises the following steps: S1, vehicle preliminary screening: extracting exit flow data, and preliminarily screening out problematic vehicles according to a troubleshooting rule; s2, actual toll collection path identification: establishing a mapping table of identification stations and toll collection units, and mapping the portal license plate identification data of the problem vehicle into an actual toll collection path; s3, complete charging path identification: collecting historical exit flow data, establishing a path cost mapping table, complementing identification station paths, and identifying a complete charging path in the path cost mapping table; and S4, matching the actual path and the charging path: when the complete charging path and the actual charging path do not conform to the matching rule, initiating an auditing work order.

The invention relates to a cloud network resource tree auditing method and device. The method comprises the following steps: receiving resource tree data; abstracting the resource tree data into a resource tree routing graph according to a preset verification rule; and traversing all nodes and paths in the resource tree routing graph based on a depth-first search and backtracking algorithm. According to the method, all nodes and paths can be comprehensively and accurately audited, the risks of omission and errors are reduced, and the subsequent audit efficiency is improved.

The invention is suitable for the technical field of intelligent auditing, and provides a commercial bank verification enterprise auditing method and system based on a knowledge graph and a medium, and the method comprises the steps: firstly obtaining an auditing business data set of a target commercial bank, and then comprehensively constructing knowledge graph information according to the auditing business data set, and finally, according to the knowledge graph information and preset target entity node information, rapidly determining abnormal link information. According to the method, the knowledge graph technology can be utilized to comprehensively sort and accurately model the main body of the small and micro loan in the bank industry and the complex relationship thereof, so that the requirements on calculation and storage resources are remarkably reduced, the quick positioning of the risk of the verification enterprise is realized, the auditing efficiency is greatly improved, and the accuracy and reliability of the auditing result are improved.

The invention belongs to the technical field of audit data processing, and particularly relates to an audit method and system for data intelligent matching and intelligent analysis. By setting auditing field collection rules, audited data are extracted from a data source. The method comprises the following steps: processing audit data, constructing an association set of audit fields, violation bases, audit opinions and rectification opinions by adopting fuzzy matching and field similarity detection algorithms, training suspicious data by utilizing a deep learning model, and automatically matching violation logics and corresponding opinions. And sorting the matching results according to the similarity, and providing optimal and alternative violation basis, audit suggestions and rectification suggestions. By setting an auditing field acquisition rule and a data acquisition tool, automatic import of auditing data is realized. The auditing data is automatically processed and intelligently analyzed by utilizing a field similarity detection algorithm and a deep learning model, and suspicious data and illegal behaviors are quickly identified, so that the auditing period is greatly shortened.

The invention relates to a threshold national secret-based boiler monitoring data auditing method, system and device and a storage medium, and the method comprises the following steps: a data acquisition and processing unit which is used for obtaining infrared thermal images, oxide skin thickness and working vibration data, and generating an infrared thermal image data set and a key parameter data set; the thermal image analysis unit is used for carrying out abnormal mutagenesis analysis on global features and local detail features in the infrared thermal image data set; the key parameter analysis unit is used for analyzing the key parameter data set; the matching verification unit is used for finding out operation abnormal data matched with a second abnormal target feature formed by the first abnormal target feature according to historical operation data of the boiler; and the monitoring and early warning unit is used for generating early warning information from the abnormal boiler operation data and generating a management and control coordination scheme according to the generated early warning information, so that an auditing voucher is ensured, the quantum attack resistance of the key is improved, and the auditing efficiency is improved.

The invention discloses a file auditing method, device, equipment and product, and relates to the technical field of information security, and the method comprises the steps: receiving an auditing file to be compared, and judging the auditing file to be compared through a preset comparison condition; under the condition that the audit files to be compared meet comparison conditions, file comparison is conducted through a vector knowledge base and a large language model, a comparison result is obtained, and a difference detail page is generated according to the comparison result; and receiving a question of the user for the comparison result and the difference detail page, and responding to the question. Therefore, the problems that the workload is large, errors are prone to being missed, the efficiency is low and real-time feedback is not available when the audit system files are compared manually are solved, and the file audit efficiency is improved.

The invention provides a block chain monitoring data evidence storage method and a query auditing method oriented to a multi-class database, a data uplink module monitors database operation and obtains a data change real event, and only performs uplink evidence storage on corresponding operation data of a to-be-uplink change event; and only the corresponding data of the database is modified without the need of the uplink data change event. The operation data related to the to-be-linked change event is uploaded to the block chain to be stored, so that the data on the block chain is the original data for eliminating high-risk data operation, and the integrity is relatively high. During auditing, whether the database query data is subjected to high-risk data operation or not can be quickly found by comparing the database query data with the chain query data, whether the high-risk data operation has problems or not can be analyzed according to the log file of the database, and then the operation user is verified through the asymmetric key pair of the user. Therefore, the database auditing efficiency is improved, and the reliability of database data is ensured.

The present invention discloses a medical shared cloud storage file audit method supporting accurate inspection, and the steps include: 1, system initialization step; 2, user private key generation step; 3, outsourced file encryption step; 4, security index generation step; 5, file verification tag generation step; 6, file access authorization step; 7, audit challenge generation step; 8, audit evidence verification step. The present invention uses identity-based ciphertext conversion technology to realize the sharing of private data such as personal electronic medical records stored in the cloud server in the medical field to other medical experts for access, and performs integrity check on the stored data on the cloud server through a keyword-based audit method, so as to ensure the security of the use of data stored on the cloud server.

The application discloses a kind of based on guide rail table and user portrait's real estate community anti-stealing electricity method and system, including the key node of distribution network is deployed guide rail type electric energy meter and forms monitoring network, obtains electric quantity data by guide rail type electric energy meter, based on the network executes topological section monitoring: according to the topological relationship of the distribution network, the electric quantity data of guide rail type electric energy meter at upstream and downstream key nodes is compared gradually, the loss electric quantity of each cable section is calculated, to locate the target cable section that there is abnormal loss electric quantity, obtains the electric data of all users corresponding to the target cable section, based on the pre-set electricity stealing user portrait index system, calculates the electricity stealing suspicion score of each user to user and carries out investigation, exports electricity stealing high-risk user list.The application realizes that electricity stealing behavior is accurately positioned from area to specific cable section gradually, and user screening is carried out using interpretable business index, which significantly improves the precision and efficiency of anti-stealing electricity inspection.

The present disclosure provides a metadata auditing method and device, electronic equipment and readable storage medium, and relates to the technical field of data management. The method comprises: obtaining a plurality of metadata groups, each metadata group comprising first metadata corresponding to a data dictionary and second metadata corresponding to an auditing standard; generating a plurality of first similarity parameters based on attribute information of the first metadata and attribute information of the second metadata in each metadata group; and generating a first auditing report comprising a target similarity parameter and a corresponding metadata group based on the plurality of first similarity parameters, the target similarity parameter being a first similarity parameter less than a similarity threshold. The metadata group represents the data association between the data dictionary and the auditing standard, and the similarity of the first metadata and the second metadata in the metadata group is determined accordingly. Then, by setting the similarity threshold, the metadata group corresponding to the target similarity parameter is identified, and the auditing efficiency of the data dictionary is improved.

The application discloses a log auditing method and device, a state machine and a storage medium, and the method comprises the following steps: acquiring an access path contained in an operation log to be audited; controlling a finite state machine to be converted to a target working state according to an operation command corresponding to the access path, and acquiring state conversion process information of the finite state machine converted to the target working state; generating path switching process information of the access path according to the state conversion process information; and outputting the path switching process information and illegal operation alarm information when preset sensitive path is included in the path switching process information. The application realizes the monitoring of the whole access path when a user accesses a system, and improves the accuracy of illegal operation log auditing and the efficiency of operation log auditing.

The present invention relates to an interface audit method, device, electronic device and storage medium, and relates to the field of computers. The method comprises: obtaining an access log of an entry controller in a target cluster, wherein an interface call request to the target cluster is forwarded to a corresponding service node in the target cluster via the entry controller; parsing target interface information from the access log, the target interface information identifying the interface called in the target cluster; determining the target audit type of the interface identified by the target interface information; and executing a corresponding audit process for the interface identified by the target interface information according to the target audit type. Thus, the interface in the target cluster can be fully and accurately discovered without deploying any third-party components in the target cluster, and the triggering timing of the interface discovery and audit process can be flexibly controlled to avoid wasting cluster resources, and unnecessary audit processes can be reduced, thereby improving audit efficiency and saving audit resources.

The application discloses a log data auditing system, method, device and medium. The system comprises: a data collection layer, configured to acquire log data of each application system, perform standardized processing, obtain classified log data, and send the classified log data to a data sedimentation layer; the data sedimentation layer is configured to classify and process the classified log data to obtain to-be-processed log data and send the to-be-processed log data to a data processing layer; the data processing layer is configured to determine to-be-converted log data corresponding to a target field from the to-be-processed log data, call a corresponding conversion rule to perform conversion processing on the to-be-converted log data, obtain to-be-analyzed log data, and send the to-be-analyzed log data to a data analysis layer; the data analysis layer is configured to determine to-be-processed log data associated with the to-be-analyzed log data, perform trajectory analysis, and determine an analysis result as a target audit result; and an application display layer is configured to determine a target display diagram based on the target audit result. The application realizes centralized auditing of log data of each application system.

A power semantic knowledge graph system and method are disclosed. A smart question-answering system is constructed by using natural language processing technology based on deep learning and combining it with the knowledge graph in the power field to optimize the power audit workflow and enhance audit efficiency.

The present invention relates to an audit knowledge recommendation system and method based on a recursive algorithm, comprising an audit knowledge base module, an audit record module, an audit working paper module and an audit report module; the audit knowledge base module is connected to the audit record module, and the audit knowledge base provides a knowledge basis for intelligent recommendation of audit record editing content; the audit record module is connected to the audit working paper module, and after the audit record is edited online in real time, the problem is classified, and the audit record is automatically collected as an audit working paper; the audit working paper module is connected to the audit report module, and the audit working papers are merged and summarized by problem classification and an audit report is automatically generated. The present invention can enhance the effectiveness and penetration of audit work, improve work efficiency, and ensure information security.

The invention relates to the technical field of data processing, and discloses a data auditing method, computer equipment and a computer program product. The method comprises the steps of obtaining to-be-audited data of multiple application architecture hierarchies, binding the to-be-audited data of the multiple application architecture hierarchies based on a preset association strategy, determining the risk degree of the bound to-be-audited data based on association features of the bound to-be-audited data, and executing a risk avoidance strategy corresponding to the risk degree according to the risk degree. Wherein the plurality of application architecture hierarchies comprise a user layer, a request layer and a database layer, and the preset association strategy represents a mapping relationship of the to-be-audited data among the plurality of application architecture hierarchies. The efficiency and accuracy of the audit evaluation process are improved.

The present application relates to the field of security assessment and audit, and particularly relates to an intelligent audit method and system based on a vehicle internet security design document, wherein security design document data is acquired, security elements are extracted therefrom and their correlation is analyzed; meanwhile, a cause-and-effect knowledge graph is constructed according to standard specifications and historical data. Subsequently, the security elements are mapped to the graph, and whether they constitute an indirect cause-and-effect transmission relationship that violates the specifications is identified through graph traversal. If it is preliminarily determined to be compliant, a hypothetical compliance scenario is generated based on the evolution relationship in the graph, and compliance determination is re-executed in this scenario; when the determination result changes from compliance to non-compliance, the corresponding security expression in the document is marked as a potential compliance defect. Finally, an auditable report with complete cause-and-effect evidence chain is generated. The present application realizes automated, in-depth compliance reasoning and forward-looking risk early warning, effectively improving the accuracy, efficiency and traceability of the audit.

The present invention discloses a cross-chain data consistency dynamic audit method based on a supervision chain. When there is an audit demand, the supervision chain challenges the receiving chain to verify whether the access chain has sent complete and correct data to the receiving chain; the receiving chain generates an audit certificate based on the challenge information, and sends the audit certificate to the supervision chain; the supervision chain verifies the correctness of the audit certificate to judge the integrity of the cross-chain data. If the audit fails, the supervision chain sends an error message to the access chain so that the access chain finds the corresponding correct data and sends it to the receiving chain for storage; when the data owner has a data update demand, a data update request can be sent to the access chain, the access chain updates and stores the corresponding data, and also sends a data update request to the receiving chain so that it updates and stores the data. This method realizes accurate verification of the cross-chain interactive data integrity audit and protects privacy data; the method of the present invention also realizes the audit of batch files and improves the audit efficiency.

This application relates to a compliance risk management system and method for investment advisory services based on operational behavior chains. The system includes: an operational behavior collection module for collecting operational behavior data of securities investment advisors and forming a continuous, uninterrupted operational behavior chain; a risk warning module for identifying individual operational risks of securities investment advisors based on the operational behavior chain using a trained model, and verifying the correlation between individual operational risks through time-series analysis to obtain combined operational risks; and a correlation tracing module for acquiring related business data associated with the operational behavior chain and integrating it to generate a risk tracing report. This application achieves a time-series chaining of data from securities investment advisors' login, data operations, and business operations, enabling not only the identification of individual operational risks but also the effective identification of combined operational risks. Furthermore, the closed-loop tracing link between operational behavior, business data, and risks effectively improves subsequent audit efficiency.

The invention discloses a source code data leakage prevention method for source code auditing, which is characterized in that an auditor can quickly position a specific problem point in a source code by generating a source code auditing report containing detailed positioning information, so that the time of manual search in a huge code library is remarkably shortened, the auditing accuracy is improved, and in addition, the auditing efficiency is improved. The position link index is automatically matched according to the authority of the source code auditor, the corresponding source code is searched in the local source code library, automation of the auditing process is achieved, errors and omission of manual operation are reduced, the auditing efficiency is further improved, and meanwhile the auditing efficiency is improved through strict authority control. Only auditors with corresponding permissions can access specific source codes, illegal leakage of source code data is effectively prevented, in the auditing process, the source code data are strictly isolated in a local library, the leakage risk in the transmission process is avoided, corresponding problem points are indexed through position links, the opportunity of directly operating the source codes is reduced, and the auditing efficiency is improved. And the leakage risk is further reduced.

The present invention relates to the technical field of data processing, and in particular to a method for classifying electric power audit text based on a large language model, the method comprising: obtaining classified historical electric power audit text data; constructing and optimizing classification representations of the historical electric power audit text data, and evaluating the classification misleadingness of these representations between different categories; obtaining real-time electric power audit text data, and correcting the initial matching degree of the real-time electric power audit text data relative to the selected type based on the classification misleadingness to obtain the final matching degree; and realizing text classification of the real-time electric power audit text data based on the final matching degree. The implementation of the method can avoid the problem of prediction result deviation caused by uneven distribution of electric power audit text sample data.

The present invention discloses a high-speed audit system based on a path algorithm, relates to the technical field of high-speed audit, and solves the technical problem that the existing scheme does not take into account the scenario of cross-provincial travel, has high implementation cost and operation complexity, and cannot accurately and efficiently identify the technical problem of vehicles of long-distance buying and short-distance buying; the system comprises a processor and a data acquisition module connected to the processor in communication; the present invention generates a gantry flow model by integrating the gantry transaction flow and the gantry plate recognition flow, and screens the provincial boundary gantry flow model and the border gantry flow model according to the gantry flow model; effectively merges the high-speed cross-provincial travel data, and improves the recognition efficiency and accuracy of long-distance buying and short-distance buying; the present invention combines manual verification with an artificial intelligence model, combines continuous verification data feedback during business use, continuously optimizes the model, can improve recognition accuracy, and at the same time improves audit efficiency.