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

Authors

53

  1. LE
    Lavanya Elluri

    University of Maryland, Baltimore County, United States

    2 publications · 59 citations

    2

    h-index

  2. KP
    Karuna Pande Joshi

    University of Maryland, Baltimore County, United States

    2 publications · 59 citations

    2

    h-index

  3. JH
    Jong Hyuk Park

    Seoul National University of Science and Technology, South Korea

    1 publications · 13 citations

    1

    h-index

  4. JC
    Jian Cheng

    China Coal Research Institute (China), China

    1 publications · 17 citations

    1

    h-index

  5. SZ
    Sun Zhi

    China West Normal University, China

    1 publications · 13 citations

    1

    h-index

1–5 of 53

Venues

  1. IEEE Network

    1 publications · 74 citations

    1

    h-index

  2. IEEE Transactions on Services Computing

    1 publications · 17 citations

    1

    h-index

  3. Journal of Systems and Software

    JSS · 1 publications · 21 citations

    1

    h-index

  4. IEEE Access

    1 publications · 46 citations

    1

    h-index

  5. Journal of Computational Science

    1 publications · 13 citations

    1

    h-index

1–5