Privacy-preserving Localization

Privacy-Preserving Localization is a methodological framework within IoT localization that enables the determination of a mobile entity's position while safeguarding its wireless privacy by minimizing exposure of personally identifiable location data to unauthorized parties.

150

Publications

5.5K

Citations

485

Authors

215

Institutions

Publications per year

2017–2026

91

Authors

485

  1. XG
    Xinping Guan

    Shanghai Jiao Tong University, China

    3 publications · 226 citations

    4

    h-index

  2. XS
    Xiufang Shi

    Zhejiang University of Technology, China

    3 publications · 115 citations

    3

    h-index

  3. DZ
    Demetrios Zeinalipour-Yazti

    University of Cyprus, Cyprus

    3 publications · 149 citations

    3

    h-index

  4. KJ
    Kimmo Järvinen

    University of Helsinki, Finland

    3 publications · 161 citations

    3

    h-index

  5. YC
    Yingying Chen

    Rutgers, The State University of New Jersey, United States

    3 publications · 108 citations

    3

    h-index

1–5 of 485

Venues

  1. Future Generation Computer Systems

    FGCS · 4 publications · 272 citations

    5

    h-index

  2. IEEE Internet of Things Journal

    5 publications · 135 citations

    5

    h-index

  3. IEEE Communications Letters

    3 publications · 101 citations

    4

    h-index

  4. IEEE Access

    2 publications · 54 citations

    3

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 3 publications · 102 citations

    3

    h-index

1–5