9results about How to "Improve audit efficiency" patented technology

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 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 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.

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.