Detection of Legitimate and Phishing Websites using Machine Learning
A. Bhavani, R. Sai Lakshmi, P. Harshavardhini, ParampalliSuryanarayana Prakash, N. Vamsi Behara, V. Ajay Kumar · 2023
Many persons in the modern racing industry utilize moral means of subsisting, but some are choosing to go the route of cyberattacks, phishing being one of them. Delivering fraudulent messages that appear to be from a trustworthy source is a component of “phishing” attacks. For the attacker to get access to the system or account, a phishing campaign often seeks to obtain the victim’s information, such as their login and password. Using the phishing website prediction dataset, paper aims to create machine learning models by improving more features on various models to improve the better performance. The many phishing websites will be compiled in one place.