A Novel Ensemble Based Identification of Phishing E-Mails
Anandita, Dhirendra Pratap Yadav, Priyanka Paliwal, Divya Kumar, Rajesh Tripathi · 2017
Due to high usage of emails, phishing email detection has been an area of interest for a lot of research scientists. Many techniques have been introduced in the past for fraud email detection at the server end. In this paper, we have proposed a novel ensemble classifier for detecting phishing emails by taking inputs from five machine learning algorithms to get maximum accuracy. The performance of the proposed model has been measured on the basis of an open dataset of emails from SpamAssassin public corpus.