Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/599541
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-11-06T06:27:30Z | - |
dc.date.available | 2024-11-06T06:27:30Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/599541 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Developing an artificial intelligence based text classification framework for investigation of cybercrimes committed using darkweb | |
dc.title.alternative | ||
dc.creator.researcher | Satyanarayana Murty, Chandrapati Appala | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Cybernetics | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Rughani, Parag H | |
dc.publisher.place | Gandhinagar | |
dc.publisher.university | National Forensic Sciences University | |
dc.publisher.institution | Department of Cyber Security and Digital Forensics | |
dc.date.registered | 2018 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Cyber Security and Digital Forensics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
00_abstract.pdf | Attached File | 86.24 kB | Adobe PDF | View/Open |
00_annexure.pdf | 108.94 kB | Adobe PDF | View/Open | |
00_chapter 1.pdf | 469.21 kB | Adobe PDF | View/Open | |
00_chapter 2.pdf | 256.58 kB | Adobe PDF | View/Open | |
00_chapter 3.pdf | 837.69 kB | Adobe PDF | View/Open | |
00_chapter 4.pdf | 1.34 MB | Adobe PDF | View/Open | |
00_chapter 5.pdf | 700.4 kB | Adobe PDF | View/Open | |
01_title.pdf | 1.45 MB | Adobe PDF | View/Open | |
02_prelim pages.pdf | 443.25 kB | Adobe PDF | View/Open | |
03_table of content.pdf | 200.47 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.15 MB | Adobe PDF | View/Open |
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