Online Phishing Detection Using Machine Learning

Abstract

Online phishing detection has gained significant importance, which will only grow with the amount of dependency on cyberspace, the proposed system provides an easy solution, during cases when the user is unsure about the authenticity of the website visited, they can try to copy the Uniform Resource Locator (URL) and paste the link into the online phishing detection system. Through the system process, it will help the user to identify whether given links were legitimate website or it is a phishing website. Therefore, the user will not be in a doubtful situation the whole day in wondering whether the information they gave in a certain website is safe or not. Providing complex decision with simplicity, the system will help the user to detect each variable of URL given accurately. Machine learning will not only able to detect each of the variables, but the system will also learn to determine the element of phishing inside of the URL. Two classifiers are used in order to detect the element of phishing which are Random Forest classifiers and Support Vector Machine (SVM).