Email Spam is an unsolicited and unwanted email in the mailbox. Spam causes threats to the internet security and it creates traffic in the network. Users spend their precious time to removing all spam emails in their mailbox. Spam email occupies storage space and it consumes network bandwidth and it is very expensive to produce. Detecting these mails and classifying as spam or ham is the major task to the organization. Solution to this problem is filtering the spam emails. Bayesian filter is also a filtering technique. The major issue in Bayesian approach is the performance of filter when word library was very large. In this paper, we introduce the algorithm called Support Vector Machine (SVM) to detect the spam email and send only legitimate email to the users. Support Vector Machine calculates fast and it provides accurate results. © Research India Publications.
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M. S. Pallavi, Hegde, V., Anushadevi, H. G., and Ambika, V., “Automated spam detection in e-mail using SVM”, International Journal of Applied Engineering Research, vol. 10, pp. 25219-25228, 2015.