White Papers

Canning More Than SPAM With Bayesian Filtering

Overview This paper investigates the use of Bayesian Filtering, specifically to counter/block/detect malware. This paper focuses on tools such as POPfile and SpamPal (which are free anti-spam systems available for both UNIX and Windows). The use of Bayesian Filtering systems can be extremely useful in cases of fast burning or very complex malware outbreaks as a stop-gap until the anti-virus vendors manage to get reliable updates out to their customers. Bayesian Filtering of internal mail can also be useful in identifying infected systems in the organization that need remedial action before the 'Trickle' of infections become a 'Torrent' and people are left fighting to keep their head above the rising waters.

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Publisher
IBM
File Format
PDF
Date Published
Oct 14, 2008
Format
White Papers
Topics
Spam - E-mail Fraud - Phishing, Email, Network Security

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