Phishing Detection: Machine Learning Implementation

Abstract

Phishing attack is easiest way to obtain delicate information from innocent users. Aim of the phishers is to acquire crucial information like username, password and bank account details. Cyber security persons are now looking for reliable and steady detection techniques for phishing websites detection. The project uses machine-learning technology for detection of phishing URLs by extracting and analyzing various features of valid and phishing URLs. Decision Tree, Random forest algorithm is used to detect phishing websites. Aim of the project is to detect phishing URLs as well as narrow down to best machine learning algorithm by comparing accuracy rate, false positive and false negative rate of each algorithm.