IBM is applying ideas developed in sequencing DNA molecules to the detection of spam. Spammers have taken to inserting streams of gobbledegook or deliberately misspelling words in their spam messages in order the throw off anti-spam filters that rely on Bayesian statistical analysis alone.

In response, IBM is developing more sophisticated anti-spam filters. Boffins at Big Blue hit on the idea that programs used for looking for recurring patterns in DNA sequences could be applied to look for recurring phrases that often feature in junk mail missives. It developed a program called Chung-Kwei (named after a feng-shui talisman that protects homeowners against evil spirits) and trained it to spot repeated patterns in spam messages. IBM then fed a series of legitimate messages through the program in order to eliminate repeated patterns of messages that were common between both spam and 'ham' (legitimate) messages.

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