A real-time method for detecting internet-wide SYN flooding attacks

Abstract

Reports show that DDoS attacks are ubiquitous on the Internet and may jeopardize networks' stable operation. In order to understand the nature of this threat and further to enable effective control and management, a whole picture of the Internet-wide attacks is a necessity. Traditional methods use darknets to this end. However, with the IPv4 address space exhaustion, darknets become hard to acquire. In this paper, we seek to detect Internet-wide attacks using a live network. In particular, we focus on the most prevalent SYN flooding attacks. First, a complete attack scenario model is introduced according to the positions of the attacker, the victim and the attacking address. Then, after discussing the features of all scenarios, an algorithm named WSAND is proposed to detect Internet-wide SYN flooding attacks using Netflow data. In order to evaluate it, the algorithm is deployed at 28 main PoPs (Points of Presence) of the China Education and Research Network (CERNET) and the total internal address space is up to 200/16 blocks. A large quantity of Internet-wide SYN flooding attacks detected in March 2014 is discussed in detail. With the help of the detected attacks, a case study of detecting an internal zombie is presented.