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SpamAssassinAll e-mail sent to the Math Department is filtered by a program called SpamAssassin. The way the SpamAssassin works is that each incoming e-mail is examined by the filter which identifies individual characteristics common to spam (unsolicited marketing e-mail) and assigns each of them a point based rating based on how "spammy" that characteristic is. Once a certain amount of points is reached, action is taken by the filter. Our current set-up is that once a message is considered spam by the filter the subject line is then relabeled "*****SPAM*****" If you sign-up for any product updates and/or newsletters from commercial companies, and you wish to receive these unmarked as spam, you have the following two options. Opting out of SpamAssassinIf you wish to stop having SpamAssassin relabel your e-mail do the following:
Creating a personal "whitelist"To ensure that SpamAssassin does not label e-mails from specific people that you consider legitimate e-mail as spam do the following:
Creating a personal "blacklist"If you find yourself constantly receiving spam from a specific e-mail address that is getting through the spam filter you can put them on your "blacklist". A blacklist is a list of e-mail addresses which send spam which are normally not caught by SpamAssassin. If an e-mail is received from an e-mail address in the blacklist it will be marked as spam. To create a blacklist do the following:
Directing Tagged Messages To Another MailboxBelow are instructions on how to have e-mails marked as spam by the spam filter automatically be sent to a separate mailbox for you to view at your leisure. For Pine Users: Start from pine's main menu.
At this point your filtering setup is in place; whenever you read mail, suspected spam will wind up in the "spam" folder in the "mail" directory within your home directory For mail, elm and mutt users:
(Note to users already using procmail: all you have to do is add the three-line rule above to your .procmailrc. You can position it where you like to allow other rules to apply to suspected spam first.) Some of these instructions and material are taken or derived from the following:http://www.cites.uiuc.edu/email/spamassassin.html Training SpamAssassinRecent versions of SpamAssassin include a Bayesian learning filter with which you can train SpamAssassin with your collection of non-spam and spam. This will make it more accurate for your incoming mail. You can do this using the sa-learn command. In order to use this you will first need to redirect tagged spam to another folder as described above and then do the following: For Pine Users: Start from pine's main menu.
Depending oh how much spam you get that isn't marked as such by SpamAssassin you should do steps 4 and 5 daily or weekly. Note that SpamAssassin will remember what mails it's learnt from, so you can re-run this as often as you like. For Users of Other Mail Programs: The concepts are similar to what is done in Pine, you make a mail folder for spam not caught by SpamAssassin. Move all those messages from your inbox to that folder and then run "sa-learn --mbox --spam" on your spam training folder and "sa-learn --mbox -nonspam" on your inbox Still having trouble?If you receive a large number of e-mails from different e-mail addresses that are similar in nature and contain similar phrases we may be able to customize SpamAssassin to block these, please forward them to me. |
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