Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/444100
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-01-12T10:59:50Z | - |
dc.date.available | 2023-01-12T10:59:50Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/444100 | - |
dc.description.abstract | newline | |
dc.format.extent | xviii,118.pages | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Feature Ontology Based Cloud Malicious Session Detection by Machine Learning | |
dc.title.alternative | ||
dc.creator.researcher | Singh, Amlesh | |
dc.subject.keyword | Cloud | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Machine Learning | |
dc.subject.keyword | Randome Forest | |
dc.description.note | ||
dc.contributor.guide | Gautam, Pratima | |
dc.publisher.place | Bhopal | |
dc.publisher.university | Rabindranath Tagore University, Bhopal | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2019 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 450.25 kB | Adobe PDF | View/Open |
02_preliminary pages.pdf | 931.57 kB | Adobe PDF | View/Open | |
03_content.pdf | 450.09 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 219.76 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.24 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 557.96 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 856.11 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 999.37 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 957.69 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 440.91 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 858.61 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.34 MB | Adobe PDF | View/Open |
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