A traffic-classified technique for filtering spam from bulk delivery e-mails
Ni Zhang, Yu Lian Jiang, Binxing Fang, Li Guo, Xueqi Cheng · 2006
Tremendous increases in spam traffic have made an imperative to develop effective techniques that can filter Internet spam traffic for using in network operation and security management. In this paper, we propose a more effective scheme called improved bulk mail traffic classification (IBMTC) for filtering spam from bulk delivery E-mails traffic. Based on our earlier designed scheme, we further address some issues related to spam attack and running performance. We also develop a series of more effective techniques to support our method. We have applied IBMTC to the E-mail traffic data captured at one of the largest commercial Internet service providers in China, and the experimental result indicates that the new scheme is more effective and can further improve the performance of filter