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.
released on 30 November 2005
|License||Verified by||Verified on||Notes|
|GPLv2orlater||Janet Casey||29 April 2003|
Leaders and contributors
|Jonathan A. Zdziarski||Maintainer|
Resources and communication
|Required to use||Berkeley DB|
|Weak prerequisite||PERL (for optional CGI interface|
This entry (in part or in whole) was last reviewed on 30 November 2005.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.