DSPAM

DSPAM is a server-side anti-spam agent for UNIX email servers. It masquerades as the email server's local delivery agent and filters/learns SPAM using a Bayesian statistical approach which provides an administratively maintenance-free, self-learning anti-spam service.

Each email is broken down into its most interesting tokens, each assigned a spam probability. All probabilities are then combined to produce a statistical probability of spam. This approach, applied to a mature corpus of email, has the potential to yield a 99.5% success rate with only 0.03% chance of false positives.

Last updated 30 Nov, 2005


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License(s) :

GPLv2orlater

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Requirements
  • Berkeley DB (Use Requirement)
  • PERL (for optional CGI interface (Weak Prerequisite)
Related Projects

MessageWall, Popsneaker, Spam Assassin, Spam-X, SpamProbe, SpamX, Spastic, bogofilter

Versions

3.6.2

3.6.2 stable released 2005-11-30

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