A library and Mail Delivery Agent for Bayesian SPAM filtering
The DSPAM agent masquerades as the email server's local delivery agent and filters/learns spams using an advanced Bayesian statistical approach (based on Baye's theorem of combined probabilities) which provides an administratively maintenance-free, easy-learning Anti-Spam service custom tailored to each individual user's behavior. Advanced because on top of standard Bayesian filtering is also incorporated the use of Chained Tokens, de-obfuscation, and other enhancements. DSPAM works great with Sendmail, Exim and Postfix, and should work well with any other MTA that supports an external local delivery agent (qmail, etc.)
Release | Stable | Testing |
---|---|---|
EPEL 7 | 3.10.2-12.el7 | - |
You can contact the maintainers of this package via email at
dspam dash maintainers at fedoraproject dot org
.