Machine Learning Based Malicious URL Detection
Divya Kapil1, Atika Bansal2, Anupriya3, Nidhi Mehra4, Aditya Joshi5
1Divya Kapil, School of Computing, CSE, Graphic Era Hill University, Dehradun, India.
2Atika Bansal, School of Computing, CSE, Graphic Era Hill University, Dehradun, India.
3Anupriya, School of Computing, CSE, Graphic Era Hill University, Dehradun, India.
4Nidhi Mehra, School of Computing, CSE, Graphic Era Hill University, Dehradun, India.
5Aditya Joshi, Graphic Era Deemed To Be University, Dehradun, India.
Manuscript received on 15 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript Published on 02 July 2019 | PP: 22-26 | Volume-8 Issue-4S, April 2019 | Retrieval Number: D10060484S19/19©BEIESP | DOI: 10.35940/ijeat.D1006.0484S19
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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/)
Abstract: Today Internet technology has become an essential part of our life for education, entertainment, gaming, banking and communication. In this modern digital era, it is very easy to have any information by one click. But everything which has pros and cons, as we have any information at our tips but Internet is an attack platform also. When we use Internet to make our work easy same time many attacker try to steal information from our system. There are many means for attacking, malicious URL one of them. When a user visits a website, which is malicious then it triggers a malicious activity which is predesigned. Hence, there are various approaches to find dangerous URL on the Internet. In this paper, we are using machine learning approach to detect malicious URLs. We used ISCXURL2016 dataset and used J48, Random forest, Lazy algorithm and Bayes net classifiers. As performance metrics, we calculate accuracy, TPR, FPR, precision and recall.
Keywords: Malicious URL, Classifiers, Random Forest, Lazy Algorithm, Bayes Net, Machine Learning.
Scope of the Article: Machine Learning