Research on spam behavior recognition technology based on similarity of topology
拓扑相似性垃圾邮件行为识别技术研究

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.