Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/527622
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-11-24T11:57:42Z | - |
dc.date.available | 2023-11-24T11:57:42Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/527622 | - |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Optimal distributed attack detection model using deep learning for IoT | |
dc.title.alternative | ||
dc.creator.researcher | Ramesh Babu Meenigi | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.description.note | ||
dc.contributor.guide | Veena K N | |
dc.publisher.place | Bengaluru | |
dc.publisher.university | REVA University | |
dc.publisher.institution | School of Electronics and Communication Engineering | |
dc.date.registered | 2018 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | School of Electronics & Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf.pdf | Attached File | 217.75 kB | Adobe PDF | View/Open |
02_prelimpages.pdf.pdf | 1.2 MB | Adobe PDF | View/Open | |
03_contents.pdf.pdf | 219.48 kB | Adobe PDF | View/Open | |
04_abstract.pdf.pdf | 124.63 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf.pdf | 948.63 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf.pdf | 405.66 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf.pdf | 1.21 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf.pdf | 895.65 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf.pdf | 978.57 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf.pdf | 157.26 kB | Adobe PDF | View/Open | |
11_annexures.pdf.pdf | 377.15 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 592.55 kB | Adobe PDF | View/Open |
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