Movement Pattern Privacy

Movement Pattern Privacy is a privacy-preserving concept that refers to the protection of spatiotemporal behavioral regularities in an individual's mobility data, distinguishing it from broader location privacy by specifically preventing the inference of recurring routes, frequented locations, or predictable movement sequences.

8

Publications

192

Citations

26

Authors

7

Institutions

Publications per year

2017–2026

4

Authors

26

  1. AO
    Aleksey Ogulenko

    Tel Aviv University, Israel

    1 publications · 17 citations

    1

    h-index

  2. DP
    David Philip McArthur

    University of Glasgow, United Kingdom

    1 publications · 14 citations

    1

    h-index

  3. CC
    Claude Castelluccia

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 12 citations

    1

    h-index

  4. CM
    Crysta Metcalf

    Motorola (United States), United States

    1 publications · 62 citations

    1

    h-index

  5. PL
    Po-Ruey Lei

    National Yang Ming Chiao Tung University, Taiwan

    1 publications · 43 citations

    1

    h-index

1–5 of 26

Venues

  1. Transactions in GIS

    1 publications · 14 citations

    1

    h-index

  2. 1

    h-index

  3. Computer Communications

    1 publications · 15 citations

    1

    h-index

  4. Computers Environment and Urban Systems

    1 publications · 17 citations

    1

    h-index

  5. Journal of Animal Science

    1 publications · 17 citations

    1

    h-index

1–5