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A Novel Approach to Spam Detection

Here is a twist on the reputation and Bayesian filter techniques usually employed in spam detection: profile the recipient. That's the approach taken by Abaca, a Silicon Valley email filtering company started by Steven T. Kirsch. The New York Times described it this way:

The approach underlying the Abaca technique is the recognition that the ratio of spam to legitimate e-mail is individually unique. It is also a singular identifier that a spammer cannot manipulate easily. By assessing the combined reputations of the recipients of any individual message, the Abaca system determines the “spaminess” of a particular message. Mr. Kirsch asserts this provides a high degree of accuracy in deciding whether the message is spam.

I've long given up the idea that there is a Holy Grail of anti-spam tools out there and we just need to find it. I'm more convinced than ever that multi-layered defenses with multiple approaches are the way to go. This technique is just one more welcome addition to tool chest.

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Dan Sullivan's Bio:

Dan Sullivan is a systems architect with 20 years of IT experience that includes engagements in enterprise security, application design, and systems architecture. His experience includes a broad range of industries, including financial services, manufacturing, government, retail, gas and oil production, power generation, and education. Dan’s security-related project work has ranged from requirements analysis for enterprise information security to designing and implementing security for database applications and enterprise portals. Dan has written about information security and other enterprise information management topics for Business Security Advisor, DM Review, Intelligent Enterprise, and E-Business Advisor. You can contact Dan at: dan_sullivan@realtimepublishers.net