A Bird’s Eye View of Anti-Phishing Techniques for Classification of Phishing E-Mails
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
Today, phishing emails are considered as one of the fastest growing threat for both organizations and individuals. Internet users are heavily prone to economic deficits due to fraudulent activities performed by these phishing mails. Various approaches and techniques have been developed to filter these phishing mails from mailboxes. In this paper, we present a review of different anti-phishing techniques for classification of phishing emails. We exhibit an overview of phishing scenario, attributes required to identify phishing mails, numerous machine learning based as well as other antiphishing techniques presently used to classify phishing email. This paper gives proper perspective towards the problem, its solution space, and helps to prognosticate the future research direction.
Authors and Affiliations
Niharika Vaishnaw, S R Tandan
Keywords
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