Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

An intelligent SPAM filter - GetEmail5

Hassan, T., Cole, P. and Fung, C.C.ORCID: 0000-0001-5182-3558 (2006) An intelligent SPAM filter - GetEmail5. In: 2006 IEEE Conference on Cybernetics and Intelligent Systems, 7-9 June 2006, Bangkok, Thailand pp. 1-5.

PDF - Published Version
Download (266kB)
Link to Published Version:
*Subscription may be required


As the increasing reliance on electronic mail (email) continues, unsolicited bulk email (SPAM) also continues to grow because it is a very cheap way for advertising. These unwanted emails are now causing a serious problem in clogging the Internet traffic and filling up the email inboxes thereby leaving no space for legitimate emails to pass through. In addition, dealing with SPAM messages is costly to the users as it requires time and effort to examine them individually. In this paper, we propose an intelligent and trainable SPAM filter called GetEmail5. We have also evaluated the proposed filter against two commercial filters, EmailProtect and SpamEate.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Information Technology
Publisher: IEEE
Copyright: © 2006 IEEE
Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Item Control Page Item Control Page


Downloads per month over past year