Email Spam Classification in a Distributed Environment

Abstract

In today's computer world, Internet plays a main role. Internet mail system is a store and forward mechanism used for the purpose of exchanging documents across computer network through Internet. Unsolicited bulk e-mail known as spam mail is considered to be a major threat. The objective of the proposed system is to develop a spam classification system in a distributed environment using Naive bayes and SVM classifier. Performance analysis of the above two classifiers is analyzed under the distributed environment. Implementation of distributed environment using Hadoop's Map Reduce framework serves to be more efficient which gives good results for the above system that has been proposed in this paper.