DETECTING SPAM ATTACKS IN E-MAIL USING BAYESIAN ALGORITHM
Journal Title: Elysium Journal of Engineering Research and Management - Year 2014, Vol 1, Issue 1
Abstract
Spam is a junk mail that increase problem through internet. Spam is used to steal some confidential information. Spam also spread Worms, Viruses, Trojans and cookies. The free availability of e-mail service helps the medium for sending unsolicited advertising and bulk e-mail. Filtering of spam mails is a critical issue in cyber security. Spamming is one of the major threats where attackers perform single attack and make multiple machines in a network as compromised machines. An effective design and implementation is needed to monitor and detect spam attacks in a real time network. The research resolves spam problem by developing an appropriate filter for the e-mail. In this paper, Bayesian filter is used to filter the spam mail. The Bayesian filter identifies legitimate and illegitimate spam mail based on the spam keywords present in the e-mail.
Authors and Affiliations
Janani V
Keywords
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- EP ID EP362774
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