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Spam Filtering With Dynamically Updated URL Statistics
July/August 2007 (vol. 5 no. 4)
pp. 33-39
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.
Index Terms:
spam filtering, UCE, email
Citation:
Jangbok Kim, Kihyun Chung, Kyunghee Choi, "Spam Filtering With Dynamically Updated URL Statistics," IEEE Security & Privacy, vol. 5, no. 4, pp. 33-39, July-Aug. 2007, doi:10.1109/MSP.2007.95
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