|
Spam Hound uses Bayesian
Filtering to detect spam.
Bayesian filtering performs
a statistical analysis of the words that make up the email to determine
if the email is spam or a personal email.
Spam hound combines Bayesian
filtering with the other spam detection techniques using a state of the
art Neural Network which learns to accurately detect spam based on your
personal email usage.
Spammers try to defeat this
technique by adding random text (e.g. "Tables bark deliciously...")
to their spam.
This is also why some spam email contain only an image with the text printed
on it.
Spam filters which rely solely on Bayesian filtering will miss these spam.
Bayesian filtering does however remain effective in detecting personal
email since spammers are unlikely to know your personal interests and
so email that contain words relating to your interests are easily detected
and allowed through.
|