Detect the Phishing Websites in the Contex of Internet Security by Using Machine Learning Approach

Abstract

For malicious use to get the sensitive and private information like detail of credit card, username, detail of bank account, password the fraudulent attempt is known as phishing. It can say that in of phishing can be consider as the today's most popular cybercrime. Many areas like financial institution, cloud storage, webmail, online payment sector, file hosting etc. where phishing attack can happen. More than any other is the phishing attacker mainly targeted the online payment sector and webmail sector. Machine learning, heuristic, visual similarity and blacklist are known as some anti-phishing techniques. Among these anti phishing techniques the blacklist is very easy to implement but some time for new phishing attacks it may fail to detect. This paper studies the effect of phishing and detects the phishing attack using machine learning algorithm [1].