Machine Learning Approach for Detection of Phishing Website

Abstract

Phishing attacks are the easiest way to get sensitive information from innocent users. The purpose of phishing is to obtain critical information like the private information of users. Phishing sites pretend to be relevant sites and it is more difficult to distinguish these sites. It is one of the greatest threats that every individual and management has ever faced. URLs are referred to as web pages through which users locate pieces of information on the Internet. This paper focuses on phishing website detection which is important for the prevention of our sensitive information. There are different types of websites with different features. Therefore, we need to use a specific set of features on websites to protect against phishing. A machine learning model has been proposed to detect phishing websites. To detect phishing sites, we proposed the machine learning model. The essential objective of this paper is to classify the various algorithm of machine learning by extracting and analyzing various features of legitimate and phishing URLs.