Method, system and device for generating test case for automotive cybersecurity detection

Abstract

The disclosure provides a method, a system and a device for generating test case for automotive cybersecurity detection, which are mainly for regulatory detection of automotive cybersecurity, and applicable to automobile security detection and authentication based on an automotive cybersecurity development flow. The present disclosure constructs an attack vector by splitting an impact parameter of a risk to determine a vector value that contributes most to an automobile risk. The attack vector is dimensionally reduced by principal component analysis, so that the analysis is fast and operable. It constructs a key impact risk of each class by cluster analysis and Chi-square analysis in each class, to form a risk set. An attack path and a test case are constructed based on a risk set, so as to construct test case to be detected.