Trustworthy and ethical intrusion detection for healthcare internet of medical things using reinforcement learning and governance rules
- DOI
- 10.1038/s41598-026-55707-2
- Published
- 2026-06-06
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55707-2,
title = {Trustworthy and ethical intrusion detection for healthcare internet of medical things using reinforcement learning and governance rules},
author = {Ibrahim Adabara and Bashir Olaniyi Sadiq and Aliyu Nuhu Shuaibu and Yale Ibrahim Danjuma and Venkateswarlu Maninti and Mutebi Joe},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-55707-2},
url = {https://doi.org/10.1038/s41598-026-55707-2}
}RIS
TY - JOUR TI - Trustworthy and ethical intrusion detection for healthcare internet of medical things using reinforcement learning and governance rules AU - Ibrahim Adabara AU - Bashir Olaniyi Sadiq AU - Aliyu Nuhu Shuaibu AU - Yale Ibrahim Danjuma AU - Venkateswarlu Maninti AU - Mutebi Joe PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-55707-2 UR - https://doi.org/10.1038/s41598-026-55707-2 ER -
APA
Adabara, I., Sadiq, B. O., Shuaibu, A. N., Danjuma, Y. I., Maninti, V., & Joe, M. (2026). Trustworthy and ethical intrusion detection for healthcare internet of medical things using reinforcement learning and governance rules. Scientific Reports. https://doi.org/10.1038/s41598-026-55707-2
Source records
- crossref · retrieved 2026-09-25T10:53:45.447Z