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User Guide - Kaspersky Lab

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170 <strong>Kaspersky</strong> Internet Security 7.0<br />

13.1. Selecting an Anti-Spam<br />

sensitivity level<br />

<strong>Kaspersky</strong> Internet Security protects you from spam at one of the following levels<br />

(see Figure 59):<br />

Block all – strictest level of sensitivity, at which only messages containing<br />

phrases from the phrase white list (see 13.3.4.1 on pg. 179) and senders<br />

listed on the white list are accepted: everything else is marked as spam. At<br />

this level, email is only analyzed against the white lists. All other features all<br />

disabled.<br />

Figure 59. Selecting the Anti-Spam security level<br />

High – a strict level that when activated raises the likelihood that some emails<br />

that are not spam will be marked as spam. At this level, email is analyzed<br />

against the white and black list, and also using PDB and GSG technologies,<br />

as well as iBayes (see 13.3.2 on pg. 176).<br />

This level should be applied in cases when there is a high likelihood that the<br />

recipient’s address is unknown to spammers. For example, when the<br />

recipient is not signed to mass mailings, and does not have an email<br />

address on free/non-corporate email servers.<br />

Recommended – the standard universal settings level for classifying email.<br />

At this level, it is possible that some spam will not be detected. This shows<br />

that Anti-Spam is not trained well enough. You are advised to conduct<br />

additional training for the module using the Training Wizard (see 13.2.1 on<br />

pg. 172) or the Spam/NOT Spam buttons (or corresponding menu items in<br />

The Bat!) for emails that were incorrectly marked.<br />

Low – the most loyal settings level. It is recommended for users whose incoming<br />

correspondence contains a significant number of words recognized by Anti-<br />

Spam as spam, but is not spam. This may be because of the recipient’s<br />

professional activity, which forces him to use professional terms in his<br />

correspondence with colleagues that are widespread in spam. All spam<br />

detection technologies are used to analyze emails at this level.

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