A novel method to characterize unwanted email Traffic

摘要：

This paper proposes a novel method to characterize unwanted email traffic. Research object is a significant, diverse, and representative set of Internet email traffic, The email session we choose is based on an extended deterministic finite automata (EFSA) model, then choose some parameters to capture email traffic characterization. The method is applied to two different volumes of email traffic data captured respectively at an email gateway of a LAN and a country-edged core router of a large JSP (Internet Service Provider) in China, then we analyze the characteristics and causes of those unwanted traffic. The results show that our method is effective, administrator can use it to design effective rules and strategies to reduce unwanted traffic.

关键词： Email traffic EFSA characterization backbone unwanted traffic

作者: Yang Sun Hongfeng Zhu

作者单位: Software College Shenyang Normal University, Shenyang, China Software College Shenyang Normal University Shenyang, China

会议类型: 国际会议

会议名称: International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)

会议地点: 太原

会议语种:英文

页码: 65-68

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）