A survey of Learning Based Techniques of Phishing Email Filtering

Abstract

Phishing email is one of the major issues of the web nowadays ensuing in monetary losses for organizations and individual users. Varied approaches are developed to filter phishing emails. The current paper focuses on machine learning applications used to detect and predict phishing emails. Moreover, a comparative study and analysis of the assorted filtering ways on the market for organizations and individual users is additionally undertaken. The conducted survey is an organized guide to support the current state of the literature, in read of the subject’s wide-ranging scope of papers.