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Spam Filtering With Dynamically Updated URL Statistics

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3 Author(s)
Jangbok Kim ; Ajou Univ., Suwon ; Kihyun Chung ; Kyunghee Choi

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.

Published in:

Security & Privacy, IEEE  (Volume:5 ,  Issue: 4 )