Cyber-physical Attack Detection

Cyber-Physical Attack Detection is a systematic process that identifies unauthorized or malicious activities targeting the integrated computational, networking, and physical components of cyber-physical systems by analyzing behavioral anomalies, integrity deviations, or security violations distinct from conventional cyber or physical fault detection methods.

1.3K

Publications

76.9K

Citations

3.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

1K

Authors

3.5K

  1. GY
    Guang‐Hong Yang

    Northeastern University, China

    19 publications · 928 citations

    17

    h-index

  2. MG
    Manimaran Govindarasu

    Iowa State University, United States

    16 publications · 1.5K citations

    15

    h-index

  3. JY
    Jin Ye

    University of Georgia, United States

    13 publications · 674 citations

    13

    h-index

  4. TD
    Tomislav Dragičević

    Aalborg University, Denmark

    13 publications · 1.4K citations

    13

    h-index

  5. AP
    Aditya P. Mathur

    Purdue University West Lafayette, United States

    13 publications · 675 citations

    12

    h-index

1–5 of 3.5K

Venues

  1. IEEE Transactions on Smart Grid

    59 publications · 6.3K citations

    42

    h-index

  2. IEEE Access

    58 publications · 3.9K citations

    35

    h-index

  3. IEEE Transactions on Industrial Informatics

    41 publications · 3.9K citations

    31

    h-index

  4. Computers & Security

    23 publications · 1.6K citations

    22

    h-index

  5. IEEE Transactions on Automatic Control

    21 publications · 3.6K citations

    20

    h-index

1–5