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Currently more and more people are suffering from ever-increasing unexpected e-mails (named spam), as well as the virus and worms introduced by spam. A lot of researchers and studies have focused on spam filtering. In this paper, we firstly present a new anti-spam technique, which include a users' active feedback mechanism, and Maximum entropy based spam filtering approach. Secondly we propose a prototype based on the methods and evaluate the technique by using both well-known mail corpus and real dataset collected from the mail server of our institute. The results demonstrate that the new technique can effectively identify more spam than traditional techniques.
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on (Volume:5 )
Date of Conference: 10-12 Aug. 2010