Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/587058
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-09-03T09:07:42Z | - |
dc.date.available | 2024-09-03T09:07:42Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/587058 | - |
dc.description.abstract | newline | |
dc.format.extent | 188 p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Vulnerability detection and quality measurement of blockchain smart contracts using bayesian networks | |
dc.title.alternative | ||
dc.creator.researcher | Kodavali Lakshminarayana | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Sathiyamurthy,K | |
dc.publisher.place | Pondicherry | |
dc.publisher.university | Pondicherry University | |
dc.publisher.institution | Pondicherry Engineering College | |
dc.date.registered | ||
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: | Pondicherry Engineering College |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_tilte.pdf | Attached File | 315.37 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 559.3 kB | Adobe PDF | View/Open | |
03_content.pdf | 367.14 kB | Adobe PDF | View/Open | |
04_ chapter 1.pdf | 648.94 kB | Adobe PDF | View/Open | |
05_ chapter 2.pdf | 923.79 kB | Adobe PDF | View/Open | |
06_ chapter 3.pdf | 973.85 kB | Adobe PDF | View/Open | |
07_ chapter 4.pdf | 799.6 kB | Adobe PDF | View/Open | |
08_ chapter 5.pdf | 775.7 kB | Adobe PDF | View/Open | |
09_ chapter 6.pdf | 655.39 kB | Adobe PDF | View/Open | |
10_ chapter 7.pdf | 659.19 kB | Adobe PDF | View/Open | |
11_ chapter 8.pdf | 344.87 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 464.55 kB | Adobe PDF | View/Open |
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