Privacy-preserving Databases

Privacy-Preserving Databases is a database system designed to protect sensitive information by enforcing strict data confidentiality and enabling authorized query processing while preventing unauthorized disclosure of personal or private data through cryptographic, anonymization, or access-control mechanisms.

345

Publications

20K

Citations

826

Authors

346

Institutions

Publications per year

2017–2026

78

Variants

Privacy-preserving Database Systems

Authors

826

  1. PC
    Peter Christen

    Australian National University, Australia

    8 publications · 482 citations

    9

    h-index

  2. RS
    Radu Sion

    Stony Brook University, United States

    8 publications · 964 citations

    8

    h-index

  3. VS
    Vassilios S. Verykios

    Hellenic Open University, Greece

    8 publications · 646 citations

    8

    h-index

  4. EB
    Elisa Bertino

    Purdue University West Lafayette, United States

    8 publications · 650 citations

    8

    h-index

  5. DV
    Dinusha Vatsalan

    Australian National University, Australia

    7 publications · 472 citations

    7

    h-index

1–5 of 826

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 13 publications · 582 citations

    13

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 9 publications · 759 citations

    9

    h-index

  3. IEEE Transactions on Dependable and Secure Computing

    TDSC · 7 publications · 351 citations

    7

    h-index

  4. ACM Transactions on Database Systems

    TODS · 7 publications · 640 citations

    7

    h-index

  5. 6

    h-index

1–5