Conference paper
An intelligent SPAM filter - GetEmail5
IEEE
2006 IEEE Conference on Cybernetics and Intelligent Systems (Bangkok, Thailand, 07/06/2006–09/06/2006)
2006
Abstract
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.
Details
- Title
- An intelligent SPAM filter - GetEmail5
- Authors/Creators
- T. Hassan (Author/Creator) - Murdoch UniversityP. Cole (Author/Creator) - Murdoch UniversityC.C. Fung (Author/Creator) - Murdoch University
- Conference
- 2006 IEEE Conference on Cybernetics and Intelligent Systems (Bangkok, Thailand, 07/06/2006–09/06/2006)
- Publisher
- IEEE
- Identifiers
- 991005543761007891
- Copyright
- © 2006 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- 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.
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