Strategy of Anti-Spam Based on Bayesian Filtering Algorithm
LI Wen-tian · Journal of Kunming University of Science and Technology · 2005
Based on the traditional Bayesian theory, Naive Bayesian filtering algorithm and its six processing steps in anti-spam are presented. The algorithm creates three Hash Tables respectively by gradual study of mails, and presets threshold accordingly to determine whether a mail received is spam or not. Examples are given to prove this algorithm is a basic strategy to anti-spam. Finally, problems and future improvement of Naive Bayesian filtering algorithm are pointed out, which provides theoretical basis and practical reference to keep away and deal with spam.