Iot Threat Modeling

IoT Threat Modeling is a systematic analytical process used in cybersecurity to identify, categorize, and evaluate potential threats and attack vectors specific to Internet of Things (IoT) systems by leveraging structured methodologies to prioritize security mitigations based on threat likelihood and impact.

213

Publications

11.7K

Citations

738

Authors

365

Institutions

Publications per year

2017–2026

191

Authors

738

  1. EB
    Elias Bou‐Harb

    The University of Texas at San Antonio, United States

    5 publications · 905 citations

    5

    h-index

  2. ZA
    Zahid Anwar

    National University of Sciences and Technology, Pakistan

    4 publications · 210 citations

    4

    h-index

  3. MM
    Mujahid Mohsin

    National University of Sciences and Technology, Pakistan

    4 publications · 210 citations

    4

    h-index

  4. MR
    Massimiliano Rak

    University of Campania "Luigi Vanvitelli", Italy

    3 publications · 155 citations

    3

    h-index

  5. GK
    Georges Kaddoum

    École de Technologie Supérieure, Canada

    3 publications · 941 citations

    3

    h-index

1–5 of 738

Venues

  1. Internet of Things

    10 publications · 672 citations

    10

    h-index

  2. IEEE Access

    9 publications · 440 citations

    9

    h-index

  3. Sensors

    8 publications · 206 citations

    8

    h-index

  4. Computers & Security

    6 publications · 220 citations

    6

    h-index

  5. The Journal of Supercomputing

    5 publications · 326 citations

    5

    h-index

1–5