Knowledge Graph Security
Knowledge Graph Security is a methodological framework that ensures the integrity, confidentiality, and availability of knowledge graph data and metadata against unauthorized access, tampering, and inference attacks through access control, encryption, and provenance tracking mechanisms.
11
Publications
315
Citations
53
Authors
19
Institutions
Publications per year
2017–2026
10
Parents
11
Automated Attack and Defense Framework toward 5G Security
Yanbin Sun, Zhihong Tian, Mohan Li et al. · IEEE Network · 2020 · 74 citations
Computing the digest of an RDF graph
Craig Sayers, Alan H. Karp · 2004 · 37 citations
1–5 of 11
53
2
h-index
University of Maryland, Baltimore County, United States
2 publications · 59 citations
2
h-index
Seoul National University of Science and Technology, South Korea
1 publications · 13 citations
1
h-index
1
h-index
1
h-index
1–5 of 53
19
University of Maryland, Baltimore County
Baltimore, United States
2 h-index
8 publications
203 citations
University of North Florida
Jacksonville, United States
1 h-index
1 publications
26 citations
University of Koblenz and Landau
Mainz, Germany
1 h-index
4 publications
84 citations
State University of New York
Albany, United States
1 h-index
1 publications
26 citations
China West Normal University
Nanchong, China
1 h-index
4 publications
52 citations

Washington State University
Pullman, United States
1 h-index
1 publications
74 citations
Guangzhou University
Guangzhou, China
1 h-index
3 publications
222 citations
SUNY Plattsburgh
Plattsburgh, United States
1 h-index
1 publications
26 citations
1–8 of 19
1 publications · 74 citations
1
h-index
1 publications · 17 citations
1
h-index
JSS · 1 publications · 21 citations
1
h-index
1 publications · 46 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5