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9

CNSR
2004
IEEE

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Adaptive Filtering of SPAM

13 years 8 months ago

Adaptive Filtering of SPAM

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In this paper, we present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam e-mails are divided into categories in which each category is represented by a set of tokens which form a Representative Text (RT). Tokens are strings of characters (words, sentences, or some times meaningless strings of characters). This RT is used to compute a resemblance ratio with incoming e-mails. With this ratio we decide whether the incoming e-mail is a spam. This filter was implemented and integrated to Spamihilator software. Some experimental and interesting results will be presented.

L. Pelletier, Jalal Almhana, Vartan Choulakian

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CNSR 2004 | Communications | Incoming E-mail | Spam Filtering Process | Times Meaningless Strings |

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Added	20 Aug 2010
Updated	20 Aug 2010
Type	Conference
Year	2004
Where	CNSR
Authors	L. Pelletier, Jalal Almhana, Vartan Choulakian

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