Detection of Botnet Attack in IoT using Machine Learning

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9878

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DC Field	Value	Language
dc.contributor.author	Pandey, Vasundhara	-
dc.contributor.author	Mishra, Suryansh	-
dc.contributor.author	Vasudeva, Amol [Guided by]	-
dc.date.accessioned	2023-09-07T10:48:27Z	-
dc.date.available	2023-09-07T10:48:27Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9878	-
dc.description	Enrolment No. 191400, 191300	en_US
dc.description.abstract	The Internet of Things (IoT) has changed the traditional approach to living our lives and replaced it with a lifestyle where technologies are part of our lives, sometimes even more than human beings. Everything we touch, see or feel is related to technology. Smartphones, smart cities, smart energy saving, smart homes, smart trains, etc are life-transforming changes that happened due to IoT. The technologies are enhancing with every passing second, but still, the full potential of IoT is yet to be achieved.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Botnet Attack	en_US
dc.subject	Internet of things	en_US
dc.subject	Machine learning	en_US
dc.subject	Honeypot traps	en_US
dc.title	Detection of Botnet Attack in IoT using Machine Learning	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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