Title :
An Anti-spam Filtering System Based on the Naive Bayesian Classifier and Distributed Checksum Clearinghouse
Author :
Wang, Haiyan ; Zhou, Runsheng ; Wang, Yi
Author_Institution :
Dept. of Comput. Sci., HuaZhong Agric. Univ., Wuhan, China
Abstract :
In the context of anti-spam filtering, we investigated the performance of the Naive Bayesian classifier and Distributed Checksum Clearinghouse. Based on these two methods, we constructed an anti-spam filtering system, which is capable of identifying spam, maintaining normally to deliver and receive e-mails as well. Meanwhile, we performed a thorough evaluation of the system on the benchmark corpus. The experimental results of evaluation reveal that the proposed approach is reliable and efficient, which contributes to reduce the system load and enhance the comprehensive properties.
Keywords :
Bayes methods; distributed algorithms; pattern classification; security of data; unsolicited e-mail; antispam filtering system; distributed checksum clearinghouse; e-mails; naive Bayesian classifier; Application software; Bayesian methods; Computer science; Electronic mail; Information filtering; Information filters; Information technology; Machine learning; Machine learning algorithms; Niobium; Anti-spam; Distributed Checksum Clearinghouse; Naive Bayesian classifier;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.164