NSF: Network-Based Spam Filtering Based on On-Line Blacklisting against Spamming Botnets
Byungseung Kim, Hyogon Kim, Saewoong Bahk · 2009
Although many anti-spam techniques have been developed, they have difficulty in detecting spams whose contents are altered to evade detection and in tracking spammers that are comprised of botnets. There have been a few works to resolve these limitations, but most of them are not appropriate to be deployed at a gateway for online detection. In this paper, we find network-based characteristics that spammers cannot easily distort. Based on the characteristics, we develop an algorithm applying the metrics to a large volume of traffic in real time. The scheme is efficient enough to run at the ingress point as it only needs to inspect the transport information contained in TCP/IP headers of SMTP connections.