A LVQ-based neural network anti-spam email approach

Authors:
Zhan Chuan;Lu Xianliang;Hou Mengshu;Zhou Xu
Affiliations:
College of Computer Science and Engineering of UEST of China, Chengdu, China;College of Computer Science and Engineering of UEST of China, Chengdu, China;College of Computer Science and Engineering of UEST of China, Chengdu, China;College of Computer Science and Engineering of UEST of China, Chengdu, China
Venue:
ACM SIGOPS Operating Systems Review
Year:
2005

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Abstract

Along with wide application of e-mail nowadays, many spam e-mails flood into people's email inboxes and bring catastrophe to their study and work. This paper presents a novel anti-spam e-mail filter based-LVQ network in terms of spam e-mails which are mainly made up of several kinds commercial or political spam emails at present. Our experiment has proved that the filter based on LVQ is superior to Bayes-based and BP-based approaches in total performances apparently.