They
can work with either MTAs to scan incoming mail and filter it before it gets to the server
or with MUAs to separate spam messages before they make it to your inbox.
The biggest problem with these filters is when they pick up false positives, which is good
mail (also called ham) tossed as spam. Some will also still miss a good deal of spam in the
bargain. However, they are trainable, in different ways, so that they improve their detection
capabilities as you correct their mistakes.
While you are training your filter, make sure that detected spam gets sent to its own
folder and is not deleted immediately. There??™s no telling how many false positives might
be lost otherwise.
The openSUSE 10.3 implementation of KMail provides two different antispam tools for
you to use:
. CRM114
. SpamAssasin
Both of these tools are Open Source projects that utilize multiple techniques for detecting
spam messages. To configure them in KMail, click Tools, Anti-Spam Wizard. The Anti-
Spam Wizard starts, as shown in Figure 15.5.
CHAPTER 15 Managing Email Servers 330
331 Fighting Spam and Viruses
FIGURE 15.
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