Spatiotemporal Data Privacy

Spatiotemporal Data Privacy is a privacy-preserving framework that specifically governs the protection of location and time-based data points within geographic information systems, distinguished by its focus on mitigating re-identification risks arising from the interplay between spatial accuracy and temporal resolution in mobility datasets.

250

Publications

12.5K

Citations

783

Authors

350

Institutions

Publications per year

2017–2026

142

Authors

783

  1. GW
    Guojun Wang

    Guangzhou University, China

    7 publications · 635 citations

    7

    h-index

  2. CS
    Cyrus Shahabi

    University of Southern California, United States

    7 publications · 806 citations

    7

    h-index

  3. SZ
    Shaobo Zhang

    Hunan University of Science and Technology, China

    6 publications · 470 citations

    6

    h-index

  4. FD
    Fatemeh Deldar

    Tarbiat Modares University, Iran

    6 publications · 174 citations

    6

    h-index

  5. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    5 publications · 265 citations

    5

    h-index

1–5 of 783

Venues

  1. Future Generation Computer Systems

    FGCS · 11 publications · 516 citations

    11

    h-index

  2. IEEE Internet of Things Journal

    9 publications · 285 citations

    9

    h-index

  3. Information Sciences

    8 publications · 624 citations

    8

    h-index

  4. Computer Communications

    7 publications · 225 citations

    7

    h-index

  5. IEEE Access

    6 publications · 185 citations

    6

    h-index

1–5