Kaspersky Lab WorkSpace Security EU ED, 250-499u, 2Y, RNW KL4851XATDR ユーザーズマニュアル
製品コード
KL4851XATDR
U
S E R
G
U I D E
108
To scan links in email messages using the database of suspicious addresses, please do the following:
1. Open the main application window.
2. In the left part of the window, select the Protection section.
3. Select the Settings item from the Anti-Spam component context menu.
4. In the window that will open, in the Sensitivity section, click the Customize button.
5. In the window that will open, on the General tab, check the
Check if URLs are listed in the base of
suspicious web addresses box.
To scan links in email messages using the database of phishing addresses, please do the following:
1. Open the main application window.
2. In the left part of the window, select the Protection section.
3. Select the Settings item from the Anti-Spam component context menu.
4. In the window that will open, in the Sensitivity section, click the Customize button.
5. In the window that will open, on the General tab, check the
Check if URLs are listed in the base of
phishing web addresses box.
S
ELECTING THE SPAM FILTERING TECHNOLOGY
Emails are scanned for spam by using state-of-the-art filtration technologies.
By default the program uses all filtering technologies, allowing the most complete analysis of email messages for spam.
To disable any of the filtration technologies:
1. Open the main application window.
2. In the left part of the window, select the Protection section.
3. Select the Settings item from the Anti-Spam component context menu.
4. In the window that will open, in the Sensitivity section, click the Customize button.
5. In the window that will open, on the Algorithms tab, in the Recognition algorithms section, uncheck the
boxes for the filtering technologies you do not wish to use for spam analysis of email messages.
D
EFINING SPAM AND POTENTIAL SPAM FACTORS
Specialists of Kaspersky Lab have done all their best to configure Anti-Spam optimally for it to detect spam and potential
spam.
spam.
Spam detection operations based on state-of-the-art filtration technologies helps the user train Anti-Spam to recognize
quite accurately spam, potential spam, and good mail with a certain number of emails from your inbox.
quite accurately spam, potential spam, and good mail with a certain number of emails from your inbox.
Anti-Spam is trained by working with the Training Wizard, and training from email clients. While doing so, every individual
element of good emails or spam are assigned a factor. When an email message enters your inbox, Anti-Spam scans the
message using the iBayes algorithm for elements of spam and of good email. The factors for each element are totaled,
and the spam rating and potential spam rating are calculated.
element of good emails or spam are assigned a factor. When an email message enters your inbox, Anti-Spam scans the
message using the iBayes algorithm for elements of spam and of good email. The factors for each element are totaled,
and the spam rating and potential spam rating are calculated.