Phishing-Inspector: Detection & Prevention of Phishing Websites
Tanmay Doke, Pranav Khismatrao, Vaibhav Jambhale, Nilesh R. Marathe · ITM Web of Conferences · 2020
With a tremendous boost in technologies & available learning material developing any website has become very easy. Due to this the number of websites are exponentially growing day by day. The traditional approach of comparing websites with Blacklist and whitelist is not so efficient. As attackers have become more intelligent regarding hiding and redirecting of the URL and thereby tricking the user into phishing attack without been getting detected. So there’s a need to have a novel approaches based on Machine learning (ML) which would expose this phishing websites. In this paper, the proposed system is an extension to web browser which made use of ML algorithm to extract various features and thereby helping the user to distinguish between Legitimate website and Phishing website.