Title :
Spam Filtering With Dynamically Updated URL Statistics
Author :
Kim, Jangbok ; Chung, Kihyun ; Choi, Kyunghee
Author_Institution :
Ajou Univ., Suwon
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.
Keywords :
probability; statistical analysis; unsolicited e-mail; dynamically updated URL statistics; email; probability; spam filtering; Bayesian methods; Content management; Filtering; Filters; Network servers; Probability; Relays; Statistics; Uniform resource locators; Unsolicited electronic mail; UCE; email; spam filtering;
Journal_Title :
Security & Privacy, IEEE
DOI :
10.1109/MSP.2007.95
