Study on Fuzzing Test Strategy Based on Improved Differential Evolution Algorithm

This paper introduces the basic concepts of the improved differential evolution algorithm, the industrial control protocol and the Fuzzing test technology, as well as the status quo of related research. This paper analyzes the structure and working characteristics of DE and industrial control protocol. It improved the existing differential evolution algorithms to make Fuzzing test work more efficiently. The improved DE is adopted to automatically generate valid test cases with wider value space. Through two commonly improved parameters, the improved DE is simulated and analyzed, and the effect of the improved algorithm is grasped. As a result, a Fuzzing test tool with independent property rights is presented. And the fuzzing test, as well as the result analysis proves the feasibility of the vulnerability mining strategy. With the successful field experiment, the work can serve as a feasible guidance for the future enterprise information security protection.