Phishing Website Detection using Machine Learning

Phishing Website Detection using Machine Learning

Siva Sakthii U S, Pradeepa M, Janani D, Gayathri N

Department of Artificial Intelligence and Machine Learning
Sri Shakthi Institute of Engineering and Technology
Coimbatore,India

Abstract— Phishing attacks are a prevalent threat in cybersecurity, targeting users by tricking them into providing sensitive information through deceptive websites. This project aims to develop a robust method for detecting phishing websites by extracting and analyzing URL features using machine learning techniques. By leveraging various features such as URL length, special characters, subdomains, and suspicious keywords, we aim to build a predictive model that accurately identifies phishing URLs. This paper discusses the methodology, including data collection, preprocessing, feature selection, model training, and evaluation, ultimately highlighting the model's performance and potential applications in real-world scenarios.

Keywords— Phishing Detection, Machine learning, Phish Tank