Abstract

Chinese government and enterprise organizations will replace domestic operating systems and application software on a large scale. However, most security vendors are currently unable to cover this area. Moreover, the domestic terminal security software has weak capability in detecting and killing malicious ELF samples. Some hackers and attack teams have targeted products that use domestic operating systems, and the existing detection capabilities are easily bypassed by attackers. Worse still, there is no established channel for exchanging malicious ELF samples among vendors. The situation is: There are very few domestically produced ELF malicious sample databases; There is zero work on the generation of adversarial malicious software targeting ELF; Currently, the existing work on countermeasures against PE malicious samples cannot generate executable binary files; there is no work on AI-based generation of malicious ELF samples. Thus, a system that generates adversarial malicious samples in the domestic environment using AI technology is needed to establish an advantage in the malicious sample library, and enhance the capability to detect and kill malicious software. We develop such a system and solve the above problems.