| Publisher | IBM | ||
|---|---|---|---|
| Format | 73.1KB PDF, requires Acrobat Rdr 5 | Date added | 02 Jul 2004 |
| Topics | Spam and E-mail Marketing | ||
| Downloads | 117 | ||
This paper presents SpamGuru, an anti-spam filtering system for enterprises that is based on three important design principles. First, SpamGuru relieves the burden of anti-spam administration by automating several tasks such as maintaining white- and black lists, updating filters automatically in response to user votes, etc. Second, the SpamGuru architecture supports easy, flexible configuration. Finally, by combining multiple disparate classifiers, this paper shows that SpamGuru can achieve excellent discrimination between spam and legitimate mail, and can offer a tunable tradeoff between spam detection rates and false positives, with excellent spam detection even at very low false positive rates.
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