Computer and Modernization ›› 2013, Vol. 1 ›› Issue (7): 43-046,.doi: 10.3969/j.issn.1006-2475.2013.07.011

• 算法设计与分析 • Previous Articles     Next Articles

Double-stage Spam Filtering Method Based on Social Network

HUANG Guo-wei1, CHEN Zhi2   

  1. 1. Computer College, Shenzhen Institute of Information Technology, Shenzhen 518172, China;2. School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin 300387, China
  • Received:2013-02-05 Revised:1900-01-01 Online:2013-07-17 Published:2013-07-17

Abstract: How to guarantee the accuracy of the reputation of E-mail users reflecting users’ behavior in sending mail is one of key problems in reputation-based spam filtering method. To handle this problem, a reputation scheme based on users’ feedback is proposed. The scheme recurs to the trust relations among users in social network and the information provided by users’ feedback in order to guarantee the adaptability to the dynamic changes in users’ behavior. Furthermore, a double-stage spam filtering method is proposed based on the reputation scheme, which integrates the trust among users and the reputation of users in the process of E-mail classification. The simulation results show that the proposed method is able to achieve both good adaptability to the changes of users’ behavior and good performance in E-mail classification.

Key words: spam, E-mail classification, social network, user’s trust, user’s feedback, user’s reputation