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.

关键词： SIP malformed messages self learning SIP fuzzing malformed message detection twogram detection model SIP attack

作者: Sohail Aziz Mehroz Gul

作者单位: Computer Science Department, National University of Computer and Emerging Sciences, Islamabad, Pakistan

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

会议地点: 北京

会议语种:英文

页码: 744-749

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）