User Guide - Kaspersky Lab

178 Kaspersky Internet Security 7.0
email with iBayes for elements of spam and of accepted email. The factors for
each element are totaled and the email is given a spam factor and an accepted
email factor.
The probable spam factor defines the likelihood that the email will be classified
as probable spam. If you are using the Recommended level, any email has
between a 50% and 59% chance of being considered probable spam. Email that,
after being scanned, has a likelihood of less than 50% will be considered
accepted email.
The spam factor determines the likelihood that Anti-Spam will classify an email
as spam. Any email with chances beyond that indicated above will be perceived
as spam. The default spam factor is 59% for the Recommended level. This
means that any email with a likelihood of more than 59% will be marked as
spam.
In all, there are five sensitivity levels (see 13.1 on pg. 170), three of which (High,
Recommended, and Low) are based on various spam and probable spam
factor values.
You can edit the Anti-Spam algorithm on your own. To do so:
1. Open the application settings window and select Anti-Spam under
Protection.
2. Click on Customize under Sensitivity and open the Spam
Recognition tab in the resulting dialog (cf. Figure 62).
3. Adjust spam and potential spam ratings in the relevant areas.
13.3.4. Creating white and black lists
manually
Users can create black and white lists manually, by using Anti-Spam with their
email. These lists store information on user addresses that are considered safe
or spam sources, and various key words and phrases that identify them as spam
or accepted email.