Mining Technology of Industrial Network Vulnerabilities Based on Evolutionary Fuzzing Method

As the poor performance during analyzing the network protocol vulnerability mining system in network protocol format. In addition, fuzzing algorithm has some limitations in testing the random black box. In order to solve the problem, we propose the effective evolutionary fuzzing technology, which is based on network vulnerability mining system and application sequence. We apply dynamic control flow difference fitness function and application sequence comparison algorithm to calculate dynamic control flow difference. It can make the evolutionary fuzzing system to improve the efficiency of vulnerability mining. The simulation results demonstrate the effectiveness of the proposed method.