Overview
E-mail that flows into the server goes through several phases of filtering before final delivery, including:
- DNSBL lookups on handshake
- Deep protocol inspection
- DomainKeys/SPF validation
- SpamAssassin filtering
All steps in the filtering process are automated, except for Bayesian filtering that works by both automatic learning and manual learning. This covers how to train your filter to improve filter performance.
How it works
Bayesian filtering breaks an e-mail down into individual words, then compares the probability of words in legitimate e-mail and spam. If certain words or phrases such as “Dr. Oz”, “Solar Panels”, and “Viagra” appear more frequently in e-mail identified as spam, then that e-mail that contains such phrases is likely to be spam as well. Likewise phrases that contain, “Monday”, “Synergism”, and “Ocelot” may be less likely to contain spam based on training data. E-mails that come in with those words are rated more favorably as non-spam and, therefore, less likely to be delivered to your Spam folder.
How to use it
Training by IMAP folder
For e-mail accounts setup as IMAP, there is an easier process to feed data to the filter. Create an IMAP folder called “AutoSpam” (capitalization matters). Drag and drop e-mail that slips through to this folder for automatic analysis. E-mail is analyzed nightly. Once trained, these messages are discarded from your inbox.
Creating AutoSpam within the control panel
An AutoSpam folder may be easily created within the control panel under Mail > SpamAssassin Config. Click Enable Folder under Feedback Participation. You will need to logout of your existing IMAP program to activate changes.
Drag and drop learning with the AutoSpam folder
Fine print
Also there are a few guidelines to bear in mind when using this service:
- Don’t feed the spam filter e-mails that you have received as part of a mailing list that you signed-up for
- Always use the unsubscribe feature
- Poisoning the filter (feeding non-spam to it) is bad. Don’t do it.
- Results are never instantaneous and take up to 24 hours to incorporate into the algorithm.