Crowdsourced Detection

Crowdsourced Detection is a detection framework in the context of GNSS spoofing that leverages geospatial and temporal correlations of signals across multiple user devices to identify anomalies indicative of spoofing attacks through collaborative, distributed data aggregation and analysis.

44

Publications

3K

Citations

193

Authors

82

Institutions

Publications per year

2017–2026

23

Authors

193

  1. JB
    Jeremy Blackburn

    University College London, United Kingdom

    3 publications · 414 citations

    3

    h-index

  2. HK
    Haewoon Kwak

    Hamad bin Khalifa University, Qatar

    3 publications · 414 citations

    3

    h-index

  3. GW
    Gang Wang

    Virginia Tech, United States

    3 publications · 309 citations

    3

    h-index

  4. NR
    Naren Ramakrishnan

    Virginia Tech, United States

    2 publications · 170 citations

    2

    h-index

  5. MM
    Manish Mohanlal

    University of California, Santa Barbara, United States

    2 publications · 210 citations

    2

    h-index

1–5 of 193

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 247 citations

    3

    h-index

  2. 2

    h-index

  3. Nature Methods

    1 publications · 369 citations

    1

    h-index

  4. IEEE Sensors Journal

    1 publications · 21 citations

    1

    h-index

  5. Natural hazards and earth system sciences

    1 publications · 40 citations

    1

    h-index

1–5