An Improved Fuzzy Test of Industrial Control System
Binhe Zhou, Qi Li, Bowen Sun, Yuangang Yao · 2018
At present, fuzzy test is one of the most common ways of software vulnerability mining. However, the pertinence of traditional fuzzy test is not strong enough, the coverage is too low. The traditional fuzzy test can't meet the demand of the safety requirements of industrial control systems. This paper is aimed at the characteristics of industrial terminal equipment. We use genetic algorithm to design variation function and improve the memory fuzzy test to detect vulnerabilities. Based on this paper, we can effectively implement the new vulnerability mining system for industrial control system terminal, and greatly shorten the excavation time.