Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/444Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sharma, Rajeev | - |
| dc.date.accessioned | 2026-06-04T06:39:03Z | - |
| dc.date.available | 2026-06-04T06:39:03Z | - |
| dc.date.issued | 2026-02-19 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/444 | - |
| dc.description.abstract | Computer Science and Application | en_US |
| dc.language.iso | en | en_US |
| dc.subject | IOT Networks | en_US |
| dc.title | Design and Development of a novel deep learning-based intrusion detection system for IOT Networks | en_US |
| dc.type | Thesis | en_US |
| dc.guide | Dr. Santanu Sikdar | en_US |
| Appears in Collections: | Faculty of Compute Science and Application | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| RAJEEV SHARMA FINAL THESIS.pdf | 13.68 MB | Adobe PDF | Preview PDFDownload |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.