Research of Spam Behavior Recognition Technology
Xinyou Zhang · Computer Technology and Development · 2011
Anti-spam behavior recognition technology was studied.Introduce a method of spam behavior recognition based on the session layer was proposed.Based on analyzing behavioral characteristics of email data,the behavioral characteristics which are able to distinguish between spam and normal mail were extracted.Then establish behavioral characteristics recognition model using support vector machine algorithm.The rule of the spam behavior was found.This method filters the spam before the content of spam have been sent,saves the bandwidth effectively.Finally,experiment used behavior recognition technology and content based filtering on a real mail data set shows behavior recognition technology provides a better result for spam classification.