Research And Implementation For Internet Of Things System Vulnerability Mining And Safety Protection Based On Intelligent Fuzzing Test

In recent years,the system security status of IOT devices is not optimistic security incidents are constantly occurring.At the same time,the Internet of Things system plays an increasingly important role in daily life.Due to the limited resources of IOT devices and the characteristics of closeness,the traditional Fuzzing vulnerability detection technology is not effective.In order to improve the security and security level of the Internet of Things system,improve the efficiency of vulnerability mining system in the Internet of Things system.In this paper,a non source instrumentation technology for embedded software is proposed,which combines path guidance technology with format constraint Fuzzing technology.The code coverage information of the program is obtained by binary piling,and the information is fed back to the Fuzzing sample generation system.This method can effectively improve the efficiency of Fuzzing vulnerability mining for embedded software.The vulnerabilities are repaired to achieve security protection.