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Attention-Based Multidimensional Deep Learning Approach for Cross-Architecture IoMT Malware Detection and Classification in Healthcare Cyber-Physical Systems
Optimizing Intrusion Detection for IoT : A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing
A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
An optimized intrusion detection system for resource-constrained IoMT environments: enhancing security through efficient feature selection and classification
FTL-TSLP: A federated transfer learning approach with a two-stage LSTM pipeline for fault-tolerant and privacy-preserving intrusion detection in IoMT networks
Methodology for Small-Signal Stability Emergency Control in Low-Inertia Power Systems Using Phasor Measurements and Machine Learning Algorithms: A Data-Driven Approach
IoTHS-based framework for developing a healthcare security system
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