Privacy-preserving Query Processing

Privacy-Preserving Query Processing is a computational framework in cloud privacy protection that enables data querying over encrypted or obfuscated datasets while ensuring that sensitive information remains confidential and inaccessible to unauthorized parties during processing.

857

Publications

55.1K

Citations

2K

Authors

633

Institutions

Publications per year

2017–2026

387

Authors

2K

  1. RL
    Rongxing Lu

    University of New Brunswick, Canada

    39 publications · 1.7K citations

    24

    h-index

  2. YZ
    Yandong Zheng

    University of New Brunswick, Canada

    20 publications · 743 citations

    17

    h-index

  3. JS
    Jun Shao

    Zhejiang Gongshang University, China

    19 publications · 728 citations

    17

    h-index

  4. XL
    Ximeng Liu

    Fuzhou University, China

    16 publications · 868 citations

    16

    h-index

  5. RH
    Robert H. Deng

    Singapore Management University, Singapore

    15 publications · 858 citations

    15

    h-index

1–5 of 2K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 33 publications · 2.2K citations

    23

    h-index

  2. IEEE Transactions on Dependable and Secure Computing

    TDSC · 35 publications · 1.6K citations

    23

    h-index

  3. 21

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 28 publications · 1.6K citations

    20

    h-index

  5. IEEE Internet of Things Journal

    25 publications · 987 citations

    19

    h-index

1–5