Journal of Computer, Internet and Network Security ISSN: 2457-0176 (Online)

Authors:-Aniket Sanjay Kumbhar, Pratik Rajendra Chougule, Karan Dinkar Phonde, Vinayak Vasant Pachange, S. P. Phadtare

Abstract:-Phishing website is one of the internet security problems that target the human vulnerabilities rather than software vulnerabilities. It can be described as the process of attracting online users to obtain their sensitive information such as usernames and passwords. Types of web pages are different in terms of their features. Hence, we use a web page features set to avoid phishing attacks. We proposed a model based on machine learning techniques to detect phishing web pages. We have suggested some rules to have efficient features. The model has 13 inputs and 1 output. The average classification accuracy was measured as .05%.