Bayesian spam filtering with NoSpamToday!
Unfortunately, spammers are often reasonably intelligent people. They know that a lot of anti-spam software will recognize words such as Viagra and prevent it from ever appearing in your mailbox. Instead, they send out spam messages that use a variety of cunning techniques - maybe disguising spam email as a message from a friend, or using rewrites such as V1agra or Vvviagra. In order to avoid spam, it is therefore clear that the anti-spam measures need to be just as intelligent - and with Bayesian spam filtering, this can be accomplished.
Bayesian spam filters become more effective as you use them. The basic principle behind Bayesian filters is that they calculate the likeliness of any given message being spam. It looks at the content of a message, examining things such as words, headers and HTML code. Based on the information that you have provided it with, it decides whether or not the message is likely to be spam. The more spam it encounters, the more proficient the Bayesian filtering tool will become at identifying all types of spam.
NoSpamToday! for Servers uses the award-winning SpamAssassin engine to filter out spam. With the help of Bayesian filtering, spam is stopped at the mail server level. In order for spam to be correctly identified, you first need to teach the software the difference between spam and regular messages. To learn more about training the software to recognize spam, please click here.
