
@ARTICLE{Niu:2024:iomt,
   author = {Niu, Q. and Li, H. and Liu, Y. and Qin, Z. and Zhang, L. and Chen, J. and Lyu, Z.},
   title = {Toward the {Internet} of {Medical} {Things}: Architecture, trends and challenges},
   journal = {Mathematical Biosciences and Engineering},
   volume = {21},
   number = {1},
   pages = {650--678},
   year = {2024},
   doi = {10.3934/mbe.2024028}
}

@ARTICLE{Ewoh:2024:vulnerability,
   author = {Ewoh, P. and Vartiainen, T.},
   title = {Vulnerability to cyberattacks and sociotechnical solutions for health care systems: Systematic review},
   journal = {Journal of Medical Internet Research},
   volume = {26},
   pages = {e46904},
   year = {2024},
   doi = {10.2196/46904}
}

@ARTICLE{Ahmed:2024:insights,
   author = {Ahmed, S. F. and Alam, M. S. B. and Afrin, S. and Rafa, S. J. and Rafa, N. and Gandomi, A. H.},
   title = {Insights into {Internet} of {Medical} {Things} ({IoMT}): Data fusion, security issues and potential solutions},
   journal = {Information Fusion},
   volume = {102},
   pages = {102060},
   year = {2024},
   doi = {10.1016/j.inffus.2023.102060}
}

@ARTICLE{Dadkhah:2024:ciciomt,
   author = {Dadkhah, S. and Neto, E. C. P. and Ferreira, R. and Molokwu, R. C. and Sadeghi, S. and Ghorbani, A. A.},
   title = {{CICIoMT2024}: Attack Vectors in Healthcare devices-A Multi-Protocol Dataset for Assessing {IoMT} Device Security},
   journal = {Internet of Things},
   volume = {28},
   pages = {101321},
   year = {2024},
   doi = {10.1016/j.iot.2024.101321}
}

@ARTICLE{Thabit:2024:iomt,
   author = {Thabit, F. and Can, O.},
   title = {{Internet} of {Medical} {Things} ({IoMT}) security: A comprehensive review},
   journal = {Computer Communications},
   volume = {218},
   pages = {48--66},
   year = {2024},
   doi = {10.1016/j.comcom.2024.01.020}
}

@ARTICLE{Teo:2024:federated,
   author = {Teo, Z. L. and Jin, L. and Li, S. and Miao, D. and Zhang, X. and Ng, W. Y. and others},
   title = {Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture},
   journal = {Cell Reports Medicine},
   volume = {5},
   number = {2},
   pages = {101419},
   year = {2024},
   doi = {10.1016/j.xcrm.2024.101419}
}

@ARTICLE{Rahman:2023:federated,
   author = {Rahman, A. and Hossain, M. S. and Muhammad, G. and Kundu, D. and Debnath, T. and Rahman, M. and others},
   title = {Federated learning-based {AI} approaches in smart healthcare: concepts, taxonomies, challenges and open issues},
   journal = {Cluster Computing},
   volume = {26},
   number = {4},
   pages = {2271--2311},
   year = {2023},
   doi = {10.1007/s10586-022-03658-4}
}

@ARTICLE{Khatun:2023:machine,
   author = {Khatun, M. A. and Memon, S. F. and Eising, C. and Dhirani, L. L.},
   title = {Machine Learning for Healthcare-{IoT} Security: A Review and Risk Mitigation},
   journal = {IEEE Access},
   volume = {11},
   pages = {145869--145896},
   year = {2023},
   doi = {10.1109/ACCESS.2023.3346320}
}

@ARTICLE{Liu:2024:overcoming,
   author = {Liu, C. and Fu, X. and Wang, Y. and Guo, L. and Liu, Y. and Lin, Y. and Zhao, H. and Gui, G.},
   title = {Overcoming Data Limitations: A Few-Shot Specific Emitter Identification Method Using Self-Supervised Learning and Adversarial Augmentation},
   journal = {IEEE Transactions on Information Forensics and Security},
   volume = {19},
   pages = {500--513},
   year = {2024},
   doi = {10.1109/TIFS.2024.3427361}
}

@ARTICLE{Wang:2024:lightweight,
   author = {Wang, R. and Huang, M. and Zhao, J. and others},
   title = {A lightweight model design approach for few-shot malicious traffic classification},
   journal = {Scientific Reports},
   volume = {14},
   pages = {24710},
   year = {2024},
   doi = {10.1038/s41598-024-73342-7}
}

@ARTICLE{Arreche:2024:exai,
   author = {Arreche, O. and Guntur, T. R. and Roberts, J. W. and Abdallah, M.},
   title = {E-{XAI}: Evaluating Black-Box Explainable {AI} Frameworks for Network Intrusion Detection},
   journal = {IEEE Access},
   volume = {12},
   pages = {23954--23988},
   year = {2024},
   doi = {10.1109/ACCESS.2024.3365140}
}

@ARTICLE{Mohale:2025:evaluating,
   author = {Mohale, V. Z. and Obagbuwa, I. C.},
   title = {Evaluating machine learning-based intrusion detection systems with explainable {AI}: enhancing transparency and interpretability},
   journal = {Frontiers in Computer Science},
   volume = {7},
   year = {2025},
   doi = {10.3389/fcomp.2025.1476721}
}

@ARTICLE{Brauneck:2023:federated,
   author = {Brauneck, A. and Schmalhorst, L. and Kazemi Majdabadi, M. M. and Bakhtiari, M. and Völker, U. and Baumbach, J. and others},
   title = {Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review},
   journal = {Journal of Medical Internet Research},
   volume = {25},
   pages = {e41588},
   year = {2023},
   doi = {10.2196/41588}
}

@ARTICLE{Shen:2023:exploring,
   author = {Shen, A. and Francisco, L. and Sen, S. and Tewari, A.},
   title = {Exploring the relationship between privacy and utility in mobile health: a simulation of federated learning, differential privacy, and external attacks},
   journal = {Journal of Medical Internet Research},
   volume = {25},
   pages = {e43664},
   year = {2023},
   doi = {10.2196/43664}
}

@ARTICLE{Bhushan:2023:iomt,
  author = {Bhushan, Bharat and Kumar, Avinash and Agarwal, A. and Kumar, Amit and Bhattacharya, Pronaya and Kumar, Arun},
  title = {Towards a Secure and Sustainable Internet of Medical Things (IoMT): Requirements, Design Challenges, Security Techniques, and Future Trends},
  journal = {Sustainability},
  volume = {15},
  number = {7},
  pages = {6177},
  year = {2023},
  doi = {10.3390/su15076177}
}


@ARTICLE{Tauqeer:2023:enhanced,
   author = {Tauqeer, H. and others},
   title = {Enhanced Intrusion Detection System for {Internet} of {Medical} {Things} Using Meta-Learning},
   journal = {Sensors},
   volume = {23},
   number = {12},
   pages = {5456},
   year = {2023},
   doi = {10.3390/s23125456}
}

@ARTICLE{Yan:2024:meta,
   author = {Yan, Y. and Yang, Y. and Shen, F. and others},
   title = {Meta learning-based few-shot intrusion detection for {5G}-enabled industrial internet},
   journal = {Complex \& Intelligent Systems},
   volume = {10},
   pages = {4589--4608},
   year = {2024},
   doi = {10.1007/s40747-024-01388-1}
}

@ARTICLE{Qi:2024:collaborative,
   author = {Qi, T. and Wu, F. and Wu, C. and Huang, Y. and Xie, X. and Wang, B.},
   title = {Collaborative machine learning with differential privacy for healthcare},
   journal = {eBioMedicine},
   volume = {101},
   pages = {105006},
   year = {2024},
   doi = {10.1016/j.ebiom.2024.105006}
}

@ARTICLE{Domenech:2025:evaluating,
   author = {Doménech, J. and León, O. and Siddiqui, M. S. and Pegueroles, J.},
   title = {Evaluating and enhancing intrusion detection systems in {IoMT}: The importance of domain-specific datasets},
   journal = {Internet of Things},
   pages = {101631},
   year = {2025},
doi = {10.1016/j.iot.2025.101631}
}

@INPROCEEDINGS{Kavkas:2025:enhancing,
   author = {Kavkas, N. C. and Yildiz, K.},
   title = {Enhancing {IoMT} Security with Deep Learning Based Approach for Medical {IoT} Threat Detection},
   booktitle = {2025 13th International Symposium on Digital Forensics and Security (ISDFS)},
   pages = {1--5},
   year = {2025},
   organization = {IEEE},
doi = {10.1109/ISDFS65363.2025.11012062}

}

@ARTICLE{Alturki:2025:semisupervised,
   author = {Alturki, B. and Alsulami, A. A.},
   title = {Semi-Supervised Learning with Entropy Filtering for Intrusion Detection in Asymmetrical {IoT} Systems},
   journal = {Symmetry},
   volume = {17},
   number = {6},
   pages = {973},
   year = {2025},
doi = {10.3390/sym17060973}


}

@ARTICLE{Rehman:2024:comprehensive,
   author = {Rehman, M. U. and Kalakoti, R. and Bahsi, H.},
   title = {Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare {IoMT} Networks},
   year = {2024},
doi = {10.5220/0013313600003899}
}

@ARTICLE{Shebl:2024:dcnn,
   author = {Shebl, A. and Elsedimy, E. I. and Ismail, A. and Salama, A. A. and Herajy, M.},
   title = {{DCNN}: a novel binary and multi-class network intrusion detection model via deep convolutional neural network},
   journal = {EURASIP Journal on Information Security},
   volume = {2024},
   number = {1},
   pages = {36},
   year = {2024}

}

@ARTICLE{HernandezJaimes:2024:enhancing,
   author = {Hernandez-Jaimes, M. L. and Martínez-Cruz, A. and Ramírez-Gutiérrez, K. A. and Guevara-Martínez, E.},
   title = {Enhancing machine learning approach based on nilsimsa fingerprinting for ransomware detection in {IoMT}},
   journal = {IEEE Access},
   year = {2024},
doi = {10.1109/ACCESS.2024.3480889}
}

@ARTICLE{Misbah:2025:securing,
   author = {Misbah, A. and Sebbar, A. and Hafidi, I.},
   title = {Securing {Internet} of {Medical} {Things}: An Advanced Federated Learning Approach},
   journal = {International Journal of Advanced Computer Science \& Applications},
   volume = {16},
   number = {2},
   year = {2025}
}

@ARTICLE{HernandezJaimes:2025:network,
   author = {Hernandez-Jaimes, M. L. and Martinez-Cruz, A. and Ramírez-Gutiérrez, K. A. and Morales-Reyes, A.},
   title = {Network traffic inspection to enhance anomaly detection in the {Internet} of {Things} using attention-driven Deep Learning},
   journal = {Integration},
   volume = {103},
   pages = {102398},
   year = {2025},
doi = {10.1016/j.vlsi.2025.102398 }
}

@ARTICLE{Kharoubi:2025:network,
   author = {Kharoubi, K. and Cherbal, S. and Mechta, D. and Gawanmeh, A.},
   title = {Network intrusion detection system using convolutional neural networks: {Nids-dl-cnn} for iot security},
   journal = {Cluster Computing},
   volume = {28},
   number = {4},
   pages = {219},
   year = {2025},
doi = {10.1007/s10586-024-04904-7}
}

@ARTICLE{Jeremiah:2025:multiview,
   author = {Jeremiah, S. R. and El Azzaoui, A. and Gritzalis, S. and Park, J. H.},
   title = {Multi-View Learning and Model Fusion Framework for Threat Detection in Multi-Protocol {IoMT} Networks},
   journal = {Information Fusion},
   pages = {103435},
   year = {2025},
doi = {10.1016/j.inffus.2025.103435}
}

@ARTICLE{Alabbadi:2025:xfuse,
   author = {Alabbadi, A. and Bajaber, F.},
   title = {X-{FuseRLSTM}: A Cross-Domain Explainable Intrusion Detection Framework in {IoT} Using the Attention-Guided Dual-Path Feature Fusion and Residual {LSTM}},
   journal = {Sensors},
   volume = {25},
   number = {12},
   pages = {3693},
   year = {2025},
 doi = {10.3390/s25123693}

}

@ARTICLE{Sharma:2025:multiattention,
   author = {Sharma, N. and Shambharkar, P. G.},
   title = {Multi-attention {DeepCRNN}: an efficient and explainable intrusion detection framework for {Internet} of {Medical} {Things} environments},
   journal = {Knowledge and Information Systems},
   pages = {1--67},
   year = {2025}
}

@ARTICLE{Akar:2025:l2d2,
   author = {Akar, G. and Sahmoud, S. and Onat, M. and Cavusoglu, Ü. and Malondo, E.},
   title = {{L2D2}: A Novel {LSTM} Model for Multi-Class Intrusion Detection Systems in the Era of {IoMT}},
   journal = {IEEE Access},
   year = {2025},
doi = {10.1109/ACCESS.2025.3526883}
}
```


@ARTICLE{Dadkhah:2024:CICIoMT2024,
   author  = {Dadkhah, S. and Neto, E. C. P. and Ferreira, R. and Molokwu, R. C. and Sadeghi, S. and Ghorbani, A. A.},
   title   = {{CICIoMT2024}: A benchmark dataset for multi-protocol security assessment in {IoMT}},
   journal = {Internet of Things},
   volume  = {28},
   pages   = {101351},
   year    = {2024},
   doi     = {10.1016/j.iot.2024.101351}
}




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@INPROCEEDINGS{McMahan:2017:FederatedLearning,
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@INPROCEEDINGS{Ye:2020:FEAT,
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@INPROCEEDINGS{Sung:2018:RelationNetwork,
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   year      = {2018},
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@INPROCEEDINGS{Snell:2017:PrototypicalNetworks,
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   year      = {2017},
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@INPROCEEDINGS{Dwork:2006:DifferentialPrivacy,
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   title     = {Differential Privacy},
   booktitle = {33rd International Colloquium on Automata, Languages and Programming},
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@ARTICLE{Wei:2020:DifferentialPrivacy,
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@INPROCEEDINGS{Lundberg:2017:SHAP,
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@INPROCEEDINGS{Ribeiro:2016:LIME,
   author    = {Ribeiro, Marco Tulio and Singh, Sameer and Guestrin, Carlos},
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@ARTICLE{Gaspar:2024:ExplainableIDS,
   author  = {Gaspar, Diogo and Silva, Paulo and Silva, Catarina},
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   year    = {2024},
   doi     = {10.1109/ACCESS.2024.3368377}
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@ARTICLE{Laghrissi:2021:IDSAttention,
   author  = {Laghrissi, Farah and Douzi, Siham and Douzi, Khadija and Hssina, Bouabid},
   title   = {IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism},
   journal = {Journal of Big Data},
   year    = {2021},
   doi     = {10.1186/s40537-021-00544-5}
}

@ARTICLE{Long:2024:TransformerCloudSecurity,
   author  = {Long, Zhihong and Yan, Hui and Shen, Guangquan and Li, Jinguo and Yu, Shui},
   title   = {A Transformer-based network intrusion detection approach for cloud security},
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   year    = {2024},
   doi     = {10.1186/s13677-023-00574-9}
}

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@INPROCEEDINGS{Freund:1996:AdaBoost,
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@ARTICLE{Rieke:2020:FutureDigitalHealth,
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@article{Sharafaldin2018,
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@ARTICLE{AlRimy:2021:EnsembleIDS,
   author  = {Al-rimy, Bander Ali Saleh and Maarof, Mohd Aizaini and Shaid, Syed Zainudeen Mohd},
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   year    = {2021},
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@ARTICLE{Chahal:2025:FederatedEnsemble,
   author  = {Chahal, Ayushi and Gupta, Ankit and Chandra, Prakriti},
   title   = {Design of a federated ensemble model for intrusion detection in distributed IIoT networks for enhancing cybersecurity},
   journal = {Computers and Electrical Engineering},
   year    = {2025},
   doi     = {10.1016/j.compeleceng.2024.109724}
}

@ARTICLE{Kale:2023:FewShotCybersecurity,
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   title   = {Few-shot Weakly-supervised Cybersecurity Anomaly Detection},
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   year    = {2023},
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}

@ARTICLE{Li:2020:FederatedOptimization,
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   year    = {2020},
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doi = {10.48550/arXiv.1812.06127}
}