Title

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DETECTING SPAM ATTACKS IN E-MAIL USING BAYESIAN ALGORITHM

Authors

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Mrs.V.Janani

Keywords

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Spam, e-mail, phishing attacks, Virus, Worms & Trojan

Issue Date

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July – 2014

Abstract

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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.

Page(s)

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22-25

ISSN

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2347- 4734

Source

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Vol. 1, No.1

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