Detection of Phishing Websites using SVM Technique based on Data Mining

Phishing is a major issue as to get stealing of confidential information. Various methods of phishing the confidential information are emails, phishing websites etc. In our work, we propose a phishing detecting tool to overcome the stealing of confidential information over phishing websites. For this purpose, features of websites play a very important role to detect phishing websites. Websites features like IP address, URL features, Length of URL, foreign anchors, null anchors and certificates of the websites are critically analyzed because to know the possibility of website to be phishing website. To get results for experiments of our tool, data set of phish-tank is used, which is a website to store the information of phishing and harmful websites. In this work, SVM classifier is used to collect the features and classify them. This tool is classifying 97% URL correctly and is a very effective tool to recognize the phishing websites.