Deep Learning for Cyber Threat Detection and Mitigation in Healthcare-IoT

arXiv:2608.00118 · cs.CR, cs.LG, eess.SP · Submitted 2026-07-31 · Read on arXiv

Mirza Akhi

cs.CR, cs.LG, eess.SP

Submitted: 2026-07-31

Comments: PhD thesis, University of Limerick, 2026. 357 pages. Supervisors: Dr. Lubna Luxmi Dhirani and Prof. Ciar\'an Eising

Code: https://github.com/mirzaakhi/UL-ECE-IoT-DDo

Project page: https://www.bloomberg.com/news/articles/2023-09-04/german-banking-regulator-baf

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 279× in this paper · explained in 1 episode
• Machine Learning — 104× in this paper
• Deep Learning — 64× in this paper
• Edge Deployment — 43× in this paper · explained in 2 episodes
• Ablation — 32× in this paper · explained in 1 episode
• Selective Forwarding — 28× in this paper
• Edge Devices — 22× in this paper · explained in 2 episodes
• Feature Extraction — 22× in this paper · explained in 2 episodes
• Ablation study — 21× in this paper · explained in 1 episode
• Activation Function — 21× in this paper · explained in 1 episode
• Robustness — 20× in this paper · explained in 5 episodes
• Artificial Intelligence — 17× in this paper
• Feature Selection — 16× in this paper · explained in 4 episodes
• Core — 15× in this paper · explained in 2 episodes
• Computational overhead — 14× in this paper · explained in 2 episodes
• Generalizability — 14× in this paper · explained in 6 episodes
• Internet of Medical Things — 14× in this paper
• Actor — 13× in this paper · explained in 3 episodes
• Consistency — 13× in this paper · explained in 3 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Decision Tree — 11× in this paper
• Denial of Service — 9× in this paper
• Trace — 9× in this paper · explained in 2 episodes
• Wireless Sensor Network — 9× in this paper
• Ablation Studies — 8× in this paper · explained in 1 episode
• Adaptation — 8× in this paper · explained in 1 episode
• Adversarial Robustness — 8× in this paper · explained in 3 episodes
• Batch Normalisation — 7× in this paper
• External Validation — 7× in this paper · explained in 2 episodes
• Federated Learning — 7× in this paper · explained in 15 episodes
• Adam — 6× in this paper · explained in 2 episodes
• Information Technology — 6× in this paper
• Adversarial Attacks — 5× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Distributed Denial of Service — 5× in this paper
• Energy Efficiency — 5× in this paper · explained in 3 episodes
• Loss Function — 5× in this paper · explained in 2 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Resource Constraints — 5× in this paper · explained in 3 episodes
• Temporal Convolutional Network — 5× in this paper
• AUC — 4× in this paper · explained in 2 episodes
• Adaptability — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Domain Shift — 4× in this paper · explained in 4 episodes
• Ensemble Learning — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Generative AI — 4× in this paper · explained in 2 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Wireless Body Area Network — 4× in this paper
• Benchmarking — 3× in this paper · explained in 4 episodes
• Body Sensor Network — 3× in this paper
• Clustering — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Edge AI — 3× in this paper · explained in 2 episodes
• Explainability — 3× in this paper · explained in 3 episodes
• Hybrid Model — 3× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Monitoring Total Messages Same Node — 3× in this paper
• Quantization — 3× in this paper · explained in 12 episodes
• Radio Frequency — 3× in this paper
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Address Resolution Protocol — 2× in this paper
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Feature Engineering — 2× in this paper · explained in 3 episodes
• General Data Protection Regulation — 2× in this paper
• Information Gain — 2× in this paper · explained in 2 episodes
• Internet of Healthcare Things — 2× in this paper
• K-Nearest Neighbors — 2× in this paper
• Quality of Service — 2× in this paper
• Synthetic Data Generation — 2× in this paper · explained in 5 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• User Equipment — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Active Inference — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Bluetooth Low Energy — 1× in this paper
• Centre for Research Training — 1× in this paper
• Cloud-IoT Layer and Structured Query Language — 1× in this paper
• Computational Biology — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Dataset Details for Message Queuing Telemetry Transport — 1× in this paper
• Dataset Details for User Datagram Protocol — 1× in this paper
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• European Health Data Space — 1× in this paper
• Expected Calibration Error — 1× in this paper
• Extra Trees Classifier — 1× in this paper
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Flooding the Internet Control Message Protocol — 1× in this paper
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• G New Radio — 1× in this paper
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes

Sources

• A Health Monitoring System Based on Flexible Triboelectric Sensors for Intelligence Medical Internet of Things and its Applications in Virtual Reality
• A Survey on Activation Functions and their relation with Xavier and He Normal Initialization
• Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT
• Best Practices and Lessons Learned on Synthetic Data
• Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
• Improving neural networks by preventing co-adaptation of feature detectors
• Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment
• Stealthy Backdoor Attack to Real-world Models in Android Apps
• Low-bit Model Quantization for Deep Neural Networks: A Survey
• Benchmarking TinyML Systems: Challenges and Direction

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