Alert-Driven Active Defense for IoT-Enabled CBTC Systems Using Bayesian Hypergame Modeling and Hierarchical Reinforcement Learning.
- DOI
- 10.3390/s26144475
- Published
- 2026 Jul 14
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/s26144475,
title = {Alert-Driven Active Defense for IoT-Enabled CBTC Systems Using Bayesian Hypergame Modeling and Hierarchical Reinforcement Learning.},
author = {Zhao J and Li Q and Cao Z and He Z and Zhao X and Sheng Z and Wang Y},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26144475},
url = {https://doi.org/10.3390/s26144475}
}RIS
TY - JOUR TI - Alert-Driven Active Defense for IoT-Enabled CBTC Systems Using Bayesian Hypergame Modeling and Hierarchical Reinforcement Learning. AU - Zhao J AU - Li Q AU - Cao Z AU - He Z AU - Zhao X AU - Sheng Z AU - Wang Y PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26144475 UR - https://doi.org/10.3390/s26144475 ER -
APA
J, Z., Q, L., Z, C., Z, H., X, Z., Z, S., & Y, W. (2026). Alert-Driven Active Defense for IoT-Enabled CBTC Systems Using Bayesian Hypergame Modeling and Hierarchical Reinforcement Learning.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26144475
Source records
- pubmed · retrieved 2026-09-25T07:16:36.009Z