Phishing URL detection system based on URL features using SVM

Phishing activities on the Internet are increasing day by day. It is an illicit attempt made by the attackers to steal personal information such as bank account details, login id, passwords etc. Many of the researchers proposed to detect phishing URLs by extracting features from the content of the web pages. But lots of time and space is required for this. This paper presents an approach to detect phishing URLs in an efficient way based on URL features only. For detecting the phishing URLs SVM classifier is used. The performances are evaluated for different size of datasets using different number of features. The results are compared with other machine learning classification techniques. The proposed system is able to detect phishing websites using URL features only with accuracy of 96.35%.