Data Provenance Verification is a methodological framework within data integrity that systematically authenticates the origin, custody history, and transformation lineage of data to ensure its trustworthiness and reliability throughout its lifecycle.
47
Publications
2.3K
Citations
174
Authors
86
Institutions
Publications per year
2017–2026
30
Parents
Publications
47
1–5 of 47
Authors
174
- IB
3
h-index
- JN
3
h-index
- SS
3
h-index
- SK
3
h-index
- EB
3
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1–5 of 174
Institutions
86
Stanford University
Stanford, United States
4 h-index
5 publications
763 citations
University of Notre Dame
Notre Dame, United States
3 h-index
10 publications
181 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
6 publications
282 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
5 publications
68 citations
University College London
London, United Kingdom
2 h-index
2 publications
77 citations
Microsoft (United States)
Redmond, United States
2 h-index
8 publications
914 citations
Beijing University of Technology
Beijing, China
2 h-index
8 publications
130 citations
Bahria University
Islamabad, Pakistan
1 h-index
1 publications
22 citations
1–8 of 86
Venues
- IEEE Transactions on Dependable and Secure Computing
TDSC · 2 publications · 112 citations
2
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- arXiv (Cornell University)
Repository · 2 publications · 87 citations
2
h-index
- Blockchain Research and Applications
2 publications · 36 citations
2
h-index
- ORCA Online Research @Cardiff (Cardiff University)
Repository · 2 publications · 26 citations
2
h-index
- China Communications
1 publications · 20 citations
1
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1–5