Identification Phishing Websites Using Machine Learning

Abstract

The phishing process is a huge threat to society these days. These websites target human information rather than hacking into our systems. It is a process where the criminal attacks a victim online to obtain the victim’s data.

Nowadays, phishing is one of the massive attacks on the users of the World Wide Web. Each time an attacker will use a new technique new way to attack a user. Hence, it is needful to have a real-time solution that is fast, reliable, and mainly efficient. Here, we develop a system that is efficient and reliable and which is adaptive to the changing environment. URLs are unique for all the websites also it is an identity of a website, so here we use the URL data as input and identify a phishing website and help the users from getting phished.

This project offers an intelligent system that identifies a phishing website. The system uses the Logistic Regression technique for identification. Since the Logistic Regression technique has reportedly has good performance in classification it has been selected.