Website Phishing Monitoring

Authors

  • Jaydeep Solanki Computer Department, Darshan Engineering College Rajkot, India

Keywords:

Phishing, Machine Learning, URL, Classifier, Phishing Site

Abstract

Internet has become a useful part of our regular daily social and financial activities. People are heavily
depends on internet and online activities such as online shopping, online Banking, online Booking, online Recharge and
many more. Phishing is a form of web threat, phisher create the replica of original website and illegally try to get
Victim’s personal information like user name, password, credit card details, SSN number and use it for own benefit. A
Non regular user cannot identify whether website is phished or legitimate. There is no any single solution to stop this
fraudulent activity. This paper propose the model which identify the phishing site. We first extract the features which
clearly differentiate that whether website are phished or legitimate. Then we apply this features to machine learning
techniques it will identify website are phished or legitimate. In this way it will help towards our society.

Published

2015-11-25

How to Cite

Website Phishing Monitoring. (2015). International Journal of Advance Engineering and Research Development (IJAERD), 2(11), 289-291. https://ijaerd.org/index.php/IJAERD/article/view/1076

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