An Innovative Approach for Detecting Targeted Malicious E-mail
Visramsetty Sujatha · 2013
Social networks are playing an important role in the internet world. These are used to share the information by SMTP(Simple Mail Transfer Protocol). Network providers are the one which allows all type of emails for communication purpose. While transferring the messages some malicious emails are received by the users this causes many problems either at the server side or at the client side. This type of messages may contain viruses, or it could be due to the message being crafted. This paper explains how the malicious emails are classified and how these are deleted and know the contents of messages.. In order to classify here we are using a Bayesian spam filtering , Email filtering and J48 process which overcomes the problems occurred in linear C-Support Vector Machine ( C-SVM). This machine gives the accurate results when compared to the existing one. There are three steps to examine first one is to detect the malicious email second step is apply classifier to classify according to the emails received and send to trash automatically and delete directly.