Survey on Detection of Malicious Web Pages and URLs using Machine Learning
Samkeet Shah1, Dakshil Shah2, Lakshmi Kurup3
1Dakshil Shah, Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai (Maharashtra), India.
2Samkeet Shah, Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai (Maharashtra), India.
3Prof. Lakshmi Kurup, Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai (Maharashtra), India.
Manuscript received on 13 October 2015 | Revised Manuscript received on 22 October 2015 | Manuscript Published on 30 October 2015 | PP: 32-35 | Volume-5 Issue-5, October 2015 | Retrieval Number: E2210105515/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Machine Learning, Malicious Webpages, Web Security
Scope of the Article: Machine Learning