• S CHANTI
• CHITHRALEKHA BALAMURUGAN

Phishing attacks plays are a vital role in Stealing users' Personal information for fraudulent activities in today’s digital world. Plenty of anti-phishing solutions are developed and awareness programs 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 will 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 based approaches for phishing detection. The phishing attacks covered by each work as well as some future research direction are discussed.

Phishing, Machine learning, Malware, Social Engineering, Credential Stealing

"A Review on Machine Learning Based Approaches for Phishing Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.83-89, August-2018, Available :http://www.jetir.org/papers/JETIR1808653.pdf

"A Review on Machine Learning Based Approaches for Phishing Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp83-89, August-2018, Available at : http://www.jetir.org/papers/JETIR1808653.pdf