Research on Automated Construction and Extraction Methods for Automotive Information Security Test Cases Based on Knowledge Graphs

As automotive information security is increasingly emphasized, the demand for automotive information security testing by car companies is increasing. In order to improve the efficiency of test case generation, as well as to better organize and extract the increasing number of test cases, this paper proposes a method for constructing and extracting automotive information security test cases. The method improves the data storage efficiency of test cases with large data volume and the extraction efficiency of test case execution steps by constructing a test case knowledge graph, coding atomic operations using encoding, and constructing a test case execution path.