Iot Malware Detection

IoT Malware Detection is a security mechanism that identifies malicious software in Internet of Things devices by analyzing behavioral, structural, or signature-based indicators specific to constrained and heterogeneous IoT environments.

240

Publications

15.4K

Citations

809

Authors

378

Institutions

Publications per year

2017–2026

235

Authors

809

  1. EB
    Elias Bou‐Harb

    The University of Texas at San Antonio, United States

    8 publications · 301 citations

    8

    h-index

  2. QN
    Quoc-Dung Ngo

    Posts and Telecommunications Institute of Technology

    7 publications · 490 citations

    7

    h-index

  3. TB
    Tao Ban

    National Institute of Information and Communications Technology, Japan

    7 publications · 241 citations

    7

    h-index

  4. CA
    Chadi Assi

    Concordia University, Canada

    6 publications · 249 citations

    6

    h-index

  5. AD
    Ali Dehghantanha

    University of Guelph, Canada

    6 publications · 1.5K citations

    6

    h-index

1–5 of 809

Venues

  1. IEEE Access

    14 publications · 2K citations

    14

    h-index

  2. IEEE Internet of Things Journal

    12 publications · 706 citations

    12

    h-index

  3. Computers & Security

    8 publications · 598 citations

    8

    h-index

  4. Sensors

    7 publications · 370 citations

    7

    h-index

  5. Electronics

    6 publications · 299 citations

    6

    h-index

1–5