Machine Learning Approaches for Phishing Detection: A Comprehensive Review

Abstract

Phishing attacks plays are a vital role in Stealing users' Personal information for fraudulent activities in today’s digital-phishing world solutions are developed. Plenty and awareness of programmes anti have been conducted to prevent the internet users not to fall a victim of Phishing. Targeting a specific set of people or organization through spear phishing, which contains a malware that installs automatically and works in the background to provide a remote access to the phisher. Recent survey reports had shown that phishing URL i.e., HTTPS protected to fool the internet users. This paper provides a comprehensive review of machine learning primarily based approaches for phishing detection. The phishing attacks covered by each work as well as some future research direction are discussed.