Phishing websites detection and evaluation using machine learning
Bhavatarini, Supreeth, Vishwanath Vishwanath, Kiran Kumari Patil, Sachin Sachin · AIP conference proceedings · 2024
Data security has become a major issue as digitalization across the world is rapidly increasing.Personal information of the user is extracted and exploited using one of the cyber-attack known as phishing.To detect phishing, and to avoid the user from visiting a non-legitimate website, a method is proposed in this paper.This method uses unique features of Uniform Resource Locator which can differentiate between legitimate and non-legitimate websites.To classify websites, Random forest and Support Vector Machines are two machine learning methods that are employed in this work.