URL based Phishing Detection using Machine Learning

Abstract

Phishing is a malicious act involving combination of both social engineering and technical deception to steal an individual’s personal identity data and financial account credentials. Sophisticated phishing attacks are increasing day by day resulting in financial and other data loss to industries and user community. Phishers use malicious URLs as one of the way to cause harm and steal information. A plethora of work has been reported to detect the phishing attacks using different machine learning techniques which indicative to achieving higher accuracy in detecting malicious URLs. This paper investigates the different techniques, which researchers had applied for accurate detection of phishing and brings forth the current challenges. The paper also proposes a phishing detection model that implements machine-learning technique to detect phishing attack.