Issue No. 04 - July/August (2007 vol. 5)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MSP.2007.95
Jangbok Kim , Ajou University
Kihyun Chung , Ajou University
Kyunghee Choi , Ajou University
Many URL-based spam filters rely on "white" and "black" lists to classify email. The authors' proposed URL-based spam filter instead analyzes URL statistics to dynamically calculate the probabilities of whether email with specific URLs are spam or legitimate, and then classifies them accordingly.
spam filtering, UCE, email
J. Kim, K. Chung and K. Choi, "Spam Filtering With Dynamically Updated URL Statistics," in IEEE Security & Privacy, vol. 5, no. , pp. 33-39, 2007.