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G-Lock SpamCombat
 
  Free Fun Files Home Home > Internet > Email Utilities > G-Lock SpamCombat
  Software Author Author :   G-Lock Software   Software ScreenShot ScreenShot :   Available  
  Software License License :   Shareware   Operating Systems Operating Systems :   9x XP 2000   
  Date Date :   2008-04-20   Software Price Price :   $35.00  
  Download Size Size :   4.5mb   Free Download Free Download :   Download Here  

     
  G-Lock SpamCombat Description  
  Spam emails have become an ever increasing problem, and nowadays it is practically impossible to use email without receiving spam in large amounts. G-Lock SpamCombat is your powerful solution for clearing your Inbox from spam, virus, and junk emails. G-Lock SpamCombat is antispam software that lets you eliminate all unwanted messages at the server level without receiving them with your email client.

SpamCombat uses a powerful set of filter rules to prevent spam from entering your inbox: Whitelist, Blacklist, HTML Validator, DNSBL filter, and the Bayesian filter. The Whitelist and Blacklist are the standard lists where you can add conditions to automatically mark an email as good or spam. The messages can be whitelisted/blacklisted based on any words from the message header and/or body, and on the senders IP address.

SpamCombat is provided with a solid Blacklist which allows to catch the most known kinds of spam and virus emails. DNSBL filter consists in comparing the senders IP addresses against lists of known spam databases using Public Blacklists (also called DNSBL lists). These databases are maintained and updated daily. The Bayesian filter is the most powerful spam filter based on the analysis of the message content and mathematical calculation of spam.

The advantage of the Bayesian filter is that the filter can be trained by each individual user by categorizing each received email as either spam or good; after you categorized a few emails the filter begins making this categorization by itself. If the filter makes a mistake, you re-categorize the email; the filter learns from its mistakes. The accuracy of the Bayesian filter increases with time. Well trained filter can determine up to 99.5% of spam emails coming into your inbox.
 
 
 
 

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