Brain-computer Interface Security

Brain–Computer Interface Security is a scholarly construct that denotes the set of principles, mechanisms, and protocols designed to protect brain–computer interface systems from unauthorized access, data breaches, and adversarial manipulation by ensuring confidentiality, integrity, and availability of neural data and control signals.

52

Publications

2.5K

Citations

154

Authors

79

Institutions

Publications per year

2017–2026

34

Authors

154

  1. DW
    Dongrui Wu

    Huazhong University of Science and Technology, China

    7 publications · 308 citations

    7

    h-index

  2. SL
    Sergio López Bernal

    Universidad de Murcia, Spain

    4 publications · 57 citations

    4

    h-index

  3. AH
    Alberto Huertas Celdrán

    Universidad de Murcia, Spain

    4 publications · 57 citations

    4

    h-index

  4. TB
    Tamara Bonaci

    University of Washington, United States

    4 publications · 130 citations

    4

    h-index

  5. HC
    H.J. Chizeck

    University of Washington, United States

    4 publications · 130 citations

    4

    h-index

1–5 of 154

Venues

  1. IEEE Internet of Things Journal

    2 publications · 72 citations

    2

    h-index

  2. 2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 48 citations

    2

    h-index

  4. IEEE Technology and Society Magazine

    2 publications · 62 citations

    2

    h-index

  5. Journal of Neural Engineering

    1 publications · 46 citations

    1

    h-index

1–5