Malicious Device Identification

Malicious Device Identification is a forensic analysis technique in Internet of Things security that specifically detects and classifies unauthorized or compromised devices within an IoT ecosystem by analyzing behavioral anomalies, network traffic patterns, and device fingerprinting to distinguish malicious entities from legitimate ones.

81

Publications

5.5K

Citations

321

Authors

154

Institutions

Publications per year

2017–2026

78

Authors

321

  1. EB
    Elias Bou‐Harb

    The University of Texas at San Antonio, United States

    4 publications · 163 citations

    4

    h-index

  2. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    3 publications · 182 citations

    3

    h-index

  3. SK
    Sandeep K. Sood

    Guru Nanak Dev University, India

    3 publications · 290 citations

    3

    h-index

  4. NG
    Nasir Ghani

    University of South Florida, United States

    3 publications · 111 citations

    3

    h-index

  5. NN
    Nataliia Neshenko

    Florida Atlantic University, United States

    3 publications · 116 citations

    3

    h-index

1–5 of 321

Venues

  1. Computers & Security

    7 publications · 487 citations

    7

    h-index

  2. IEEE Internet of Things Journal

    6 publications · 783 citations

    6

    h-index

  3. Electronics

    3 publications · 53 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 208 citations

    2

    h-index

  5. Computers & Electrical Engineering

    2 publications · 113 citations

    2

    h-index

1–5