A post-quantum verified self-healing framework for healthcare IoT systems: deep anomaly detection, severity estimation and risk-aware rollback to trusted checkpoints.
- DOI
- 10.3389/frai.2026.1913803
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1913803,
title = {A post-quantum verified self-healing framework for healthcare IoT systems: deep anomaly detection, severity estimation and risk-aware rollback to trusted checkpoints.},
author = {Mathew AT and Mani P},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1913803},
url = {https://doi.org/10.3389/frai.2026.1913803}
}RIS
TY - JOUR TI - A post-quantum verified self-healing framework for healthcare IoT systems: deep anomaly detection, severity estimation and risk-aware rollback to trusted checkpoints. AU - Mathew AT AU - Mani P PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1913803 UR - https://doi.org/10.3389/frai.2026.1913803 ER -
APA
AT, M., & P, M. (2026). A post-quantum verified self-healing framework for healthcare IoT systems: deep anomaly detection, severity estimation and risk-aware rollback to trusted checkpoints.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1913803
Source records
- pubmed · retrieved 2026-09-25T11:31:50.598Z
- europe-pmc · retrieved 2026-09-25T11:31:50.607Z
- doaj · retrieved 2026-09-25T11:31:50.586Z