期刊：
The Journal of Information and Computational Science,2007年4(3):1035-1043 ISSN：1548-7741
通讯作者：
Tan, M.(tanlntms@tom.com)
作者机构：
[Tang, Liang; Yu, Hongxiao; Zhao, Zhiguo; Hu, Yixiang; Tan, Minsheng] School of Computer Science and Technology, University of South China, Hengyang 421001, China;[Wan, Yaping] School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
通讯机构：
School of Computer Science and Technology, University of South China, China
摘要：
Most of spam filters work on single computer, so they can only obtain limited information and affect is not satisfying. Furthermore, many spam makers apply the new technologies and approaches to make and send spam constantly, which is challenging the traditional anti-spam technique based on contents. In this paper, we propose Identifying Technology of Spam Sending Behavior Based on P2P (ITSSB). According to bulk sending characteristics of spam and the advantages of mixed P2P network, an anti-Spam P2P network on the basis of super-peer is designed. Then, we put forward the algorithm for email conversation information examination, the algorithm for rvp query and the algorithm for email sending behavior judging. Finally, on the spam filtering capability, we compare ITSSB with Foxmail based on Bayesian. The experiment results show that: instead of depending on the email content, the language type and the format analysis, ITSSB, based on the characteristics of bulk email sending mails, works better than Foxmail in the recall, precision, F1, accuracy of filtering spam.
