Application and Analysis of Phishing Website Detection in Machine Learning and Neural Networks

Web Phishing asks the user to connect to a malicious website. The number one goal of this assault is to steal crucial statistics from the user. Intruder builds websites similar to those that look like the original website. It allows attackers to access Sensitive data such as username, password, details of debit cards etc. This paper aims to review many of the phishing detection strategies recently suggested for the website. This will also provide a high-level description of various forms of phishing detection techniques.