%0 Journal Article
%T Research on spam behavior recognition technology based on similarity of topology<br>拓扑相似性垃圾邮件行为识别技术研究
%A ZHANG Xin-you
%A LI Xin-jie
%A <br>张新有
%A 李新洁
%J 计算机应用研究
%D 2012
%I 
%X Spam behavior recognition technology, especially the behavior recognition technology based on the e-mail flow was studied. According to the communication topology of legitimate e-mail and spam with large differences, this paper introduced the concept of similarity, proposed a behavior recognition technology based on the similarity of topology. With this method, the e-mail receivers and senders were marked by the contact list. The e-mail users were divided into e-mail user clusters by calculating similarity. The senders and receivers of the coming e-mail were classified to clusters to judge whether the e-mail was spam. This paper used an auxiliary filter for classification and recognition of the original e-mail information. Simulation test with real e-mail set was conducted, which shows that the method based on the similarity of topology provides a better result for spam classification.
%K spam
%K behavior recognition
%K topology
%K similarity
%K e-mail user cluster<br>垃圾邮件
%K 行为识别
%K 拓扑
%K 相似度
%K 邮件用户群
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B5329047E72A79D0719&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=5CAC790ABE771038&eid=4F98773F116785F0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7