URL’S Phishing Detection Based on Machine Learning Approach

Abstract

Phishing detection is a challenging problem, and many different solutions are proposed in a market as a blacklist, rule-based detection, anomaly-based detection etc. Phishing Websites are duplicate webpages created to mimic real websites in-order to deceive people to get their personal information. Because of the adaptability of their tactics with little cost detecting and identifying phishing websites is really a obscure and dynamic problem.