Rf Anomaly Detection

RF Anomaly Detection is a computational method within radio frequency security that identifies deviations from established patterns of RF signal behavior by analyzing spectral, temporal, or modulation characteristics to detect unauthorized, malicious, or malfunctioning wireless transmissions.

31

Publications

1.3K

Citations

105

Authors

65

Institutions

Publications per year

2017–2026

18

Authors

105

  1. DR
    Debashri Roy

    Northeastern University, United States

    2 publications · 233 citations

    2

    h-index

  2. SI
    Shohei Ikeda

    Tohoku University, Japan

    2 publications · 64 citations

    2

    h-index

  3. TM
    Tathagata Mukherjee

    University of Alabama in Huntsville, United States

    2 publications · 233 citations

    2

    h-index

  4. CC
    Chien-Chen Chen

    Tamkang University, Taiwan

    2 publications · 55 citations

    2

    h-index

  5. SJ
    Samuel J. Stone

    Wright-Patterson Air Force Base, United States

    2 publications · 48 citations

    2

    h-index

1–5 of 105

Venues

  1. 2

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  2. 2

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  3. 2

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  4. IEEE Pervasive Computing

    1 publications · 231 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 45 citations

    1

    h-index

1–5