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 'DNA analysis' spots e-mail spam

This story is from the category Artificial Intelligence
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Date posted: 25/08/2004

Proving once again that human computers and artificial computers are not really so different, a new genetic algorithm computational biologists at IBM's TJ Watson Research Center have developed, based on the analysis of DNA pairs, and sequences in organic life.

Called after Feng Shui character Chung-Kwei, the formula automatically learns patterns of spam vocabulary and has proved to be 96.5% efficient.

In tests, the filter only misidentified one message in 6,000 as spam.

The algorithm can be trained so that it will not be fooled by cunning replacements of "S" with "$", a common ploy used by spammers to bypass conventional e-mail filters - not to mention text parsers.

See the full Story via external site: news.bbc.co.uk



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