ITM Web Conf.
Volume 32, 2020International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|Number of page(s)||6|
|Published online||29 July 2020|
Phishing-Inspector: Detection & Prevention of Phishing Websites
Department of Information Technology, Ramrao Adik Institute of Technology, Dr. D.Y. Patil Vidyanagar, Nerul, Navi Mumbai, Maharashtra – 400706, India
With a tremendous boost in technologies & available learning material developing any website has become very easy. Due to this the number of websites are exponentially growing day by day. The traditional approach of comparing websites with Blacklist and whitelist is not so efficient. As attackers have become more intelligent regarding hiding and redirecting of the URL and thereby tricking the user into phishing attack without been getting detected. So there’s a need to have a novel approaches based on Machine learning (ML) which would expose this phishing websites. In this paper, the proposed system is an extension to web browser which made use of ML algorithm to extract various features and thereby helping the user to distinguish between Legitimate website and Phishing website.
Key words: phishing websites / machine learning / blacklist / whitelist / phishing attacks / anti-phishing extension / SSL certificate / classification / legitimate / security
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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