
Cutting Edge Spam Elimination
SpamButcher outperforms other spam filters by using fuzzy logic technology. Properly configured, it can stop up to 98% of spam.
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Plain-text filtering is simply searching a message for various strings that may indicate that it's spam. If the anti-spam filter finds any, its considered an unwanted message and deleted.
DNS Blacklists are lists of servers, domains and networks that are suspected of sending spam. Different lists use varying criteria for inclusion. Blacklists can be used in conjunction with other technology like Bayesian filtering or fuzzy logic.
A Bayesian spam email system uses statistic information about spam to determine the probability of an email message really being spam. These systems have databases which are usually the result of machine training. These filters are also easily trained by end-users.
Fuzzy logic is extremely similar to statistical filtering. The exact prose and cons of fuzzy filtering vs. Bayesian are bit academic to get into here. Fuzzy logic databases are more likely to be created by a human than a machine. It has been proven that Bayesian functionality can be entirely simulated with a fuzzy system.
Challenge / response spam control software sends inquiries to all unknown senders asking them to confirm they are human. Usually the challenge requires the person identify an obscured phrase or sequence of letters. Spammers aren't willing or able to answer such queries just to deliver their spam emails.
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