作者: Yong Wang , Nan Zhang , Yan-mei Wu , Bin-bin Su , Yong-jian Liao
关键词:
摘要: With the wide deployment of wireless networks, attackers may exploit Wi-Fi network vulnerabilities to transfer data secretly, or covert communication channels spread malicious codes. The protocol formats reverse engineering technique can be used detect such attacks, however, previous works are focused on application layer analysis, and hardly work under scenarios that captured is only in binary format due lack semantics. In this paper, we propose a novel framework, which utilizes association rules feature sequences identify unknown protocols from data. We first convert into bit stream, segment it frames. improved AC algorithm adopted analyze sequences. After which, extract their potential protocols. experimental results show our framework 100% ARP packets 98% ICMP