Geo-indistinguishability

Geo-Indistinguishability is a privacy-preserving metric in location-based services that belongs to the class of spatial obfuscation techniques and is distinguished by its formal guarantee that the probability of observing any location output remains statistically indistinguishable within a specified spatial radius, thereby providing differential privacy for users' geographic positions.

39

Publications

2.7K

Citations

103

Authors

63

Institutions

Publications per year

2017–2026

27

Authors

103

  1. CP
    Catuscia Palamidessi

    Laboratoire d'Informatique de l'École Polytechnique, France

    5 publications · 1.4K citations

    5

    h-index

  2. KC
    Konstantinos Chatzikokolakis

    Laboratoire d'Informatique de l'École Polytechnique, France

    5 publications · 1.4K citations

    5

    h-index

  3. MP
    Miao Pan

    University of Houston, United States

    3 publications · 70 citations

    3

    h-index

  4. NE
    Nicolás E. Bordenabe

    Centre National de la Recherche Scientifique, France

    2 publications · 1.2K citations

    2

    h-index

  5. JC
    Jonathan Cazalas

    King Abdulaziz University, Saudi Arabia

    2 publications · 41 citations

    2

    h-index

1–5 of 103

Venues

  1. IEEE Transactions on Mobile Computing

    TMCCI · 5 publications · 187 citations

    6

    h-index

  2. Proceedings on Privacy Enhancing Technologies

    PoPETs · 3 publications · 177 citations

    3

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Big Data

    1 publications · 20 citations

    1

    h-index

  5. Peer-to-Peer Networking and Applications

    1 publications · 13 citations

    1

    h-index

1–5