Data Aggregation Privacy

Data Aggregation Privacy is a digital privacy construct that refers to the protection of individuals' personal information from unauthorized compilation, synthesis, and exploitation by combining disparate data points from multiple sources to infer sensitive attributes or behaviors without explicit consent.

55

Publications

3.4K

Citations

190

Authors

96

Institutions

Publications per year

2017–2026

31

Authors

190

  1. YL
    Yining Liu

    Guilin University of Electronic Technology, China

    5 publications · 450 citations

    5

    h-index

  2. CX
    Chang Xu

    Beijing Institute of Technology, China

    2 publications · 93 citations

    2

    h-index

  3. RZ
    Rui Zhang

    Arizona State University, United States

    2 publications · 284 citations

    2

    h-index

  4. ZC
    Zhenfu Cao

    Shanghai Jiao Tong University, China

    2 publications · 190 citations

    2

    h-index

  5. JS
    Jingcheng Song

    Guilin University of Electronic Technology, China

    2 publications · 128 citations

    2

    h-index

1–5 of 190

Venues

  1. IEEE Transactions on Industrial Informatics

    4 publications · 779 citations

    4

    h-index

  2. IEEE Internet of Things Journal

    3 publications · 146 citations

    3

    h-index

  3. Future Generation Computer Systems

    FGCS · 3 publications · 71 citations

    3

    h-index

  4. Information Sciences

    2 publications · 140 citations

    2

    h-index

  5. Wireless Personal Communications

    2 publications · 98 citations

    2

    h-index

1–5