O'Reilly logo

Slamming Spam: A Guide for System Administrators by Robert Haskins, Dale Nielsen

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 7. Introduction to Bayesian Filtering

One particularly powerful scheme for fending off spam takes a statistical approach. Instead of looking for individual elements of a message, this approach examines the message’s entire contents and tries to infer mathematically whether the message is spam or not.

In August of 2002, famous anti-spam crusader Paul Graham wrote “A Plan for Spam” [1], which relates his experiences and frustrations trying to write individual spam detection rules and his epiphany that a statistical approach might be better.

In hindsight, this approach makes good sense. For instance, Graham identified a word used only in his own field (“Lisp”) that, for him, was a powerful discriminator in detecting spam (and legitimate ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required