Detection and classification techniques of SPAM

Abstract

In this paper, we discussed techniques of detection, evaluation and classif cation of nonrequested eletronic messages massively sended (spam), with emphasis on the analysis technique that applied Artificial Inteligence (AI) and networks, which interacts, sharing informations about the origin of these emails through the internet. Three sceneries were used, in order to show a comparison among Baysean, Filter based on signatures, greylist and DNSBL techniques.