Naive Bayesian is a failure against SPAMBy Angsuman Chakraborty, Gaea News Network
Monday, March 14, 2005
I receive daily several thousands of spam emails on debt consolidation, mortgage and on organ enhancement advice/pills for organs I do not possess. I have been offered millions by unknown Nigerians, offered services I do not care about, images which were bad enough to spoil my day!
I manage to filter most of them daily using SpamBayes, a naive bayesian filter integrated closely with Outlook.
However spammers have adapted. They systemetically send spams to poison the database and they employ a wide variety of other tricks. As a result around 100 or so spams land everyday in my inbox and the nummber is steadily increasing.
The SpamBayes filter is very large and the filtering takes lot of time. Adding email to the filter also takes time.
Bayesian filter is not intelligent to realize that an email (even if it is a forwarded joke) from a CEO is not a SPAM, specially when he is a close friend ( and who can give me business ). The filter is too dumb (naive?) to be a long term solution.
By and large naive bayesian filters have lost against spammers as the sole anti-spam solution provider. What we need today is an array of filters in a convenient packaging which can be applied at will to weed out spam. We need to adapt too.