Phishing Sites Detection Based on C4.5 Decision Tree Algorithm

Abstract

The rapid increase in usage of the Internet and web services has led to a drastic increase in number of web attacks. Phishing is a web attack where the phis hers try to acquire user's sensitive information for fraudulent purposes. Phishers target user's sensitive information through a fake website that appears similar to a legitimate site in terms of interface and uniform resource locator (URL) address. Hence, there is an increase in victims falling prey to the phishing sites. This paper proposes an efficient way for detection of the phishing websites using C4.S decision tree approach and features of URL. The method proposed in this paper uses various URL features and also uses C4.S decision tree approach for better results.