CN-121998077-A - Auditing method, device, equipment and storage medium for vehicle data

CN121998077ACN 121998077 ACN121998077 ACN 121998077ACN-121998077-A

Abstract

The application provides an auditing method, device and equipment of vehicle data and a storage medium. The method comprises the steps of analyzing data safety regulation text through a natural language processing technology, extracting data safety entities and constraint relations thereof to construct a dynamic knowledge graph, determining corresponding structural facts according to vehicle multi-source data, mapping the structural facts to corresponding nodes of the knowledge graph to establish semantic association, performing reasoning verification based on the knowledge graph with the established association, judging whether data processing activities meet compliance requirements, and generating an audit report. The scheme of the application realizes the intelligent and automatic audit of the full life cycle of the vehicle data, can dynamically adapt to the change of regulations and obviously improves the efficiency and accuracy of the audit.

Inventors

WEI MIN
Zhan Hongxiang
LAN BINXUAN
WANG XIAOMENG
WANG WEI

Assignees

上汽通用五菱汽车股份有限公司

Dates

Publication Date: 20260508
Application Date: 20251217

Claims (10)

1. A method of auditing vehicle data, comprising: Analyzing a data security rule text through a natural language processing technology, extracting a data security entity and a constraint relation thereof, and constructing a dynamic knowledge graph based on the data security entity and the constraint relation, wherein the data security entity comprises a data main body, data processing activities and security control measures; Determining structural facts corresponding to vehicle multi-source data according to the vehicle multi-source data; Mapping the structured facts to corresponding nodes of the dynamic knowledge graph, and establishing semantic association between the structured facts and the data security entity; And performing reasoning verification based on the dynamic knowledge graph with the semantic association established, judging whether the structural facts meet the compliance requirement of the data safety regulation text, and generating a corresponding audit report.
2. The method according to claim 1, characterized in that it comprises: The dynamic knowledge graph is also used for automatically updating the data security entity nodes and the constraint relation of the dynamic knowledge graph according to the update of the text of the data security rule.
3. The method according to claim 1, wherein parsing the data security legislation text by natural language processing technology, extracting the data security entity and its constraint relation, comprises: Identifying a data security rule text according to a named entity identification technology, and determining a data security entity; and extracting constraint relations among the data security entities according to a relation extraction technology.
4. The method of claim 1, wherein the determining the structured facts corresponding to the vehicle multi-source data from the vehicle multi-source data comprises: And extracting configuration parameters, operation records and communication contents from the vehicle multi-source data, and converting the extracted configuration parameters, operation records and communication contents into structural facts in a preset format through an information extraction technology.
5. The method of claim 4, wherein the mapping the structured facts to the corresponding nodes of the dynamic knowledge-graph establishes semantic associations between the structured facts and the data security entities, comprising: Based on semantic similarity calculation, vectorizing and matching text description in the structural facts with the data security entity corresponding to the dynamic knowledge graph; and establishing semantic association between the structured facts and the data security entities according to the similarity between the text description in the structured facts and the data security entities corresponding to the dynamic knowledge graph and a preset similarity threshold.
6. The method of claim 5, wherein the performing inference validation based on the dynamic knowledge-graph with the semantic association established comprises: determining a data security entity corresponding to the structural fact in the dynamic knowledge graph with the semantic association established; Traversing queries whether the data security entity is linked to a corresponding security control measure.
7. The method as recited in claim 1, further comprising: dynamically generating executable data monitoring rules based on the compliance deviations identified in the audit report; And utilizing the data monitoring rule to carry out compliance checking on the multi-source data which are newly generated in the follow-up process of the vehicle.
8. An auditing apparatus for vehicle data, comprising: The dynamic knowledge graph construction module is used for analyzing the data safety regulation text through a natural language processing technology, extracting a data safety entity and a constraint relation thereof, and constructing a dynamic knowledge graph based on the data safety entity and the constraint relation, wherein the data safety entity comprises a data main body, data processing activities and safety control measures; The system comprises a structural fact determining module, a data processing module and a data processing module, wherein the structural fact determining module is used for determining structural facts corresponding to vehicle multi-source data according to the vehicle multi-source data; the semantic association establishing module is used for mapping the structured facts to corresponding nodes of the dynamic knowledge graph and establishing semantic association between the structured facts and the data security entity; And the audit report generation module is used for executing reasoning verification based on the dynamic knowledge graph, judging whether the structural facts meet the compliance requirement of the data safety regulation text, and generating a corresponding audit report.
9. An electronic device, comprising: A processor; A memory; and a computer program, wherein the computer program is stored in the memory, the computer program comprising instructions that, when executed by the processor, cause the electronic device to perform the method of any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored program, wherein the program, when run, controls a device in which the computer readable storage medium is located to perform the method of any one of claims 1 to 7.

Description

Auditing method, device, equipment and storage medium for vehicle data Technical Field The application relates to the technical field of vehicles, in particular to a vehicle data auditing method, device, equipment and storage medium. Background With popularization and deepening of intelligent network-connected automobiles, vehicles continuously generate massive data in daily operation, and the data not only contains basic operation information such as vehicle states, control instructions and the like, but also relates to highly sensitive personal privacy contents such as user identities, track tracks and the like. Therefore, the system, the precision and the high-efficiency compliance audit on the vehicle data become key links for guaranteeing the data safety and fulfilling legal obligations. In the prior art, a matching method based on fixed rules is generally adopted to realize compliance audit of vehicle data. Specifically, the method relies on manual intervention to convert safety regulations into specific keywords or regular expressions in advance, and then audit and check the acquired vehicle multi-source data files. However, due to strong speciality, complex semantics and continuous update state of related safety regulations, after the regulations are revised, audit rules are difficult to update synchronously in time, and urgent requirements of high-efficiency, accurate and automatic regulation combination supervision on vehicle data safety cannot be met. It should be noted that the information disclosed in the background section of the present application is only for enhancement of understanding of the general background of the present application and should not be taken as an admission or any form of suggestion that this information forms the prior art that is well known to a person skilled in the art. Disclosure of Invention In view of the above, the application provides an auditing method, device, equipment and storage medium for vehicle data, which are beneficial to solving the problems that in the prior art, manual experience is relied on, rule updating is lagged, and automatic continuous audit is difficult to realize. In a first aspect, the present application provides a vehicle data auditing method, including: Analyzing a data security rule text through a natural language processing technology, extracting a data security entity and a constraint relation thereof, and constructing a dynamic knowledge graph based on the data security entity and the constraint relation, wherein the data security entity comprises a data main body, data processing activities and security control measures; Determining structural facts corresponding to vehicle multi-source data according to the vehicle multi-source data; Mapping the structured facts to corresponding nodes of the dynamic knowledge graph, and establishing semantic association between the structured facts and the data security entity; And performing reasoning verification based on the dynamic knowledge graph with the semantic association established, judging whether the structural facts meet the compliance requirement of the data safety regulation text, and generating a corresponding audit report. In the embodiment of the application, the data security rule text is automatically analyzed through a natural language processing technology, the complex rule text is converted into the structured data security entity and the constraint relation thereof, and the dynamic knowledge graph is constructed according to the complex rule text, so that the process replaces manual interpretation and rule writing, and the understanding and calculation of the rule are realized. By converting the vehicle multi-source data into structural facts and mapping the structural facts to corresponding nodes of the dynamic knowledge graph, the system can automatically establish semantic association between actual data and legal requirements, and therefore continuous tracking of the vehicle data is achieved. And executing automatic reasoning verification based on the dynamic knowledge graph with the established semantic association, wherein the system can judge whether the data processing activity meets the compliance requirement of the rule in real time and automatically generate an audit report. It can be understood that the data safety regulation text is automatically analyzed by utilizing the natural language processing technology, the problems that the traditional mode depends on manual experience and the rule updating is lagged are fundamentally solved, and the high-efficiency, accurate and self-adaptive regulation change automatic compliance audit is realized. In one possible implementation, the method includes: The dynamic knowledge graph is also used for automatically updating the data security entity nodes and the constraint relation of the dynamic knowledge graph according to the update of the text of the data security rule. According to the embodiment of the application,