A self learning model for detecting SIP malformed message attacks

摘要

This paper analyses the vulnerabilities exist in SIP protocol, and how these vulnerabilities can be exploited by attackers to attack the SIP based networks i.e VoIP and IMS [IP Multimedia Subsystem]. An attack tool is developed to exploit those vulnerabilities and a two-gram self learning solution is proposed to protect SIP based networks from these attacks.