The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.04 - July/August (2007 vol.5)
pp: 33-39
Jangbok Kim , Ajou University
Kihyun Chung , Ajou University
Kyunghee Choi , Ajou University
ABSTRACT
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/August 2007, doi:10.1109/MSP.2007.95
19 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool