Volume 6 Issue 3 - January 2016

  • 1. A hybrid e-mail spam filtering technique using data mining approach

    Authors : Subhana Khan, Pramod S. Nair

    Pages : 188-195

    Keywords : Email Classification, Text Mining, Hybrid Classifier, Bayesian Classifier, Neural Network.

    Abstract :

    Communication is a primary need of human beings therefore new techniques are invented to support low cost, efficient and adoptable techniques for new generation communication technology. SMS and email messages are such techniques which are adoptable, efficient and cost effective. Now-a-days most of the communications, official and personal are performed using email messaging. But these mails are not much secure due to untrusted networks and intermediate network attackers. Therefore a number of techniques are developed for securing the email messaging from the attackers among them the spam filters are an essential contribution. In the proposed work the traditionally available techniques of spam filtering are investigated. In addition to that a new technique using hybrid methodology is presented. The proposed technique incorporates the Bayesian classifier and the neural network. In the result section the performance of the proposed technique is compared to the traditional Bayesian classi

    Citing this Journal Article :

    Subhana Khan, Pramod S. Nair, "A hybrid e-mail spam filtering technique using data mining approach", https://www.ijltet.org/journal_details.php?id=898&j_id=2841, Volume 6 Issue 3 - January 2016, 188-195, #ijltetorg