Bogofilter Free and open source mail filter
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filter email e-mail mail filter antispam solution email analysis

Bogofilter Description

Free and open source mail filter Bogofilter is a mail filter that classifies mail as spam or ham (non-spam) by a statistical analysis of the message's header and content (body). The program is able to learn from the user's classifications and corrections.The statistical technique is known as the Bayesian technique and its use for spam was described by Paul Graham in his article A Plan For Spam in August 2002. Gary Robinson, in his weblog Rants (September 2002), suggested some refinements for improved discrimination between spam and ham. Bogofilter's primary algorithm uses the f(w) parameter and the Fisher inverse chi-square technique that he describes. Paul Graham's new article Better Bayesian Filtering (January 2003) suggests some useful parsing improvements.Bogofilter is run by an MDA script to classify an incoming message as spam or ham (using wordlists stored by BerkeleyDB). Bogofilter provides processing for plain text and html. It supports multi-part mime message with decoding of base64, quoted-printable, and uuencoded text and ignores attachments, such as images.Bogofilter is written in C. Supported platforms: OS X, Linux, FreeBSD, Solaris, HP-UX, AIX, RISC OS, SunOS, OS/2. What's New in This Release: Three new options to force bogofilter to use a specified number of tokens when scoring a message. The options are: · token-count=n · oken-count-min=n · token-count-max=n · When one or more of these options is specified, bogofilter tries to use the specified number of tokens when computing a message's score. Under certain circumstances when multiple tokens have identical scores, bogofilter will compute a score using more tokens than specified.

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