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Spam Detection Using an Artificial Immune System
rangeva writes "As anti-spam solutions evolve to limit junk email, the senders quickly adapt to make sure their messages are seen. an interesting article describes the application of an artificial immune system model to effectively protect email users from unwanted messages. In particular, it tests a spam immune system against the publicly available SpamAssassin corpus of spam and non-spam. It does so by classifying email messages with the detectors produced by the immune system. The resulting system classifies the messages with accuracy similar to that of other spam filters, but it does so with fewer detectors."
Ultimately, very little. At core, they're probably identical techniques, and if I were reviewing this as a scientific paper I'd ding them for not answering exactly that question. There are such strong parallels between the two (train them on known data, add up probabilities, cut stuff on a threshold) that I strongly suspect that they're identical.
There are useful things to be gained from a change of metaphor. For example, one difference between this and most bayesian spam filter implementations is that this explicitly incorporates a decay function. That could be useful, if a word that used to be common in spam no longer is (e.g. if I actually decided to buy a Rolex, it's no longer a strong spam indicator, whereas right now any email mentionining "Rolex" is 99.9999% certain to be spam).
You could easily modify a Bayesian filter to have time-decaying weights, but if the change in metaphor leads somebody to come up with a good insight, then perhaps this is useful. Mathematically, though, the equations look very similar.
I'm seriously sick of people abusing biological methodolgies. People seem very attracted to ideas simply because they are grounded in "how nature works" and ignore the mathematical benefits or weaknesses. Now this idea pretty much just sounds like statistical rules based on a corpus - pretty much how every successful solution out there now works. This solution simply prunes rules that aren't being used, but there are better ways to get a smaller spam detection database. Have you seen the stuff the CRM114 people are doing? This is nothing new.
Read your Russell and Norvig, people. Airplane research didn't get off the ground (ugh) until we stopped trying to mimic birds and study physical principles of flight.
Did you ever notice that *nix doesn't even cover Linux?
I understand your frustration but I was the victim of a Joe Job attack and systems like you describe just add to the pain of the victim. I feel that these types of responses are just as unwelcome as spam and I report them as such. Have you had any issues like this?