Phish Catch: Machine Learning Way of Detecting Phishing Websites (original) (raw)

With the advent of 4G technology, the internet became available to masses. Everyone started to use internet services in different spheres of their life, making them vulnerable to diverse threats. One of the primary risks for internet users is Phishing Websites. Instead of breaching the security of systems phishing websites try to fool the users and make them give away the credentials which they are not supposed to share with anyone. In this study, we took 21 features and tried to predict their class i.e legitimate or phish using a supervised learning algorithm Index Terms Phishing, Machine Learning, SVM, Decision Tree, Random Forest, Internet, Security