Title :
Research in Anti-Spam Method Based on Bayesian Filtering
Author :
Wu, Jiansheng ; Deng, Tao
Author_Institution :
Sch. of Comput. Sci. & Eng., Liaoning Univ. of Sci. & Technol., Anshan
Abstract :
The study on content-based spam filtering is one of the important topics in the Internet security research area. And Bayesian classification method has expressed better performance on anti-spam. An improved new method that classifies spam filtering based on Bayesian filtering is proposed in this paper. The experiment results show that the new method has improved spam recall and spam precision.
Keywords :
Bayes methods; Internet; information filtering; security of data; unsolicited e-mail; Bayesian classification method; Bayesian filtering; Internet security; content-based spam filtering; Bayesian methods; Computer science; Costs; Databases; Electronic mail; Information filtering; Information filters; Internet; Probability; Unsolicited electronic mail; Bayesian Algorithm; Classification Filtering; Spam;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.180
