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http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9878Full metadata record
| 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 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Detection of Botnet Attack in IoT using Machine Learning.pdf | 3.64 MB | Adobe PDF | View/Open |
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