Research on Automated Vulnerability Mining of Embedded System Firmware

Research on Automated Vulnerability Mining of Embedded System Firmware

연구 분야: Analysis

학회: International Conference on Artificial Intelligence and Security

The development of the Internet of Things (IoT) makes people pay more and more attention to the security of embedded systems. The most important of it is the security issues brought by firmware. The threat posed by firmware vulnerabilities is fatal. Researching firmware vulnerability mining technology is a way to effectively protect embedded systems. However, it’s not easy to move the software’s vulnerability mining methods to firmware. The existing firmware vulnerability mining work can effectively solve some problems, but it still has some shortcomings. In this paper, we first summarize the main challenges of firmware research. Then we analyze the work related to firmware vulnerability mining. After that, we classify and analyze the existing firmware vulnerability mining work from two aspects of method and technology. At the same time, we have made some performance comparisons on the exiting work. Finally, we give some suggestions on the future direction of the firmware vulnerability mining work.