DETECTION OF PHISHING WEBSITE USING MACHINE LEARNING

Abstract

Phishing attacks are the easiest way to obtain sensitive information from innocent users. Phishers aim to capture sensitive information such as usernames, passwords and banking information. Cyber warfare In this article, various legitimate Machine learning techniques for identifying phishing URLs by capturing and analyzing URLs and phishing URLs are examined. Decision trees, random forests, and support vector machine algorithms are used to detect phishing websites. The purpose of this article is to identify phishing URLs and narrow down the best machine learning algorithms by comparing the accuracy, vulnerability, and vulnerability of each algorithm.