An Ensemble Model for Classification of Phishing e-mail
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 10
Abstract
Phishing attack is one of the critical issues that access sensitive information from e-mail users like banking password, credit card information and other details. Phishing e-mail not only wastage the storage space in mailbox, decrease the communication band width, but it also damage and misuse the sensitive information. This paper presents the classification of phishing e-mail or non phishing e-mail. In this paper, we have used various classification techniques like C4.5, Classification and Regression Technique (CART), Support Vector Machine (SVM), BayesNet and its ensemble technique for classification of phishing e-mail. The ensemble of CART and SVM gives better actuary results as 99.03% in case of 80-20% training-testing partitions.
Authors and Affiliations
Akhilesh Kumar Shrivas, Sashibhushan Singh Mahto
Keywords
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