Enhancing the Internet of Medical Things (IoMT) Security with Meta-Learning: A Performance-Driven Approach for Ensemble Intrusion Detection Systems

M Alalhareth, SC Hong - Sensors, 2024 - mdpi.com
This paper investigates the application of ensemble learning techniques, specifically meta-
learning, in intrusion detection systems (IDS) for the Internet of Medical Things (IoMT). It …

Improving Detection of Attacks in Cyber-Physical Systems: Applying Gradient Boosting Based Machine Learning Techniques

S Utubor - 2023 - search.proquest.com
As cyber-physical systems (CPS) become increasingly interconnected, ensuring their
security against cyber threats is vital. This paper focuses on enhancing the detection of CPS …

Internet of Things Intrusion Detection System: A Systematic Study of Artificial Intelligence, Deep Learning, and Machine Learning Approaches

JB Awotunde, AO Babatunde, RG Jimoh… - Big Data and Edge …, 2024 - taylorfrancis.com
The Internet of Things (IoT) intrusion detection system (IDS) is a comprehensive study that
explores various artificial intelligence (AI), deep learning (DL), and machine learning (ML) …

Efficient Intrusion Detection using OptCNN-LSTM Model based on hybrid Correlation-based Feature Selection in IoMT

S Almotairi, DD Rao, O Alharbi, Z Alzaid… - Full Length …, 2024 - americaspg.com
Intrusion detection in the IoMT (Internet of Medical Things) represents the process of
keeping track of and discovering unauthorized or malicious actions in medical devices and …

[PDF][PDF] A Hybrid Machine Learning Approach for Intrusion Detection and Mitigation on IoT Smart Healthcare

EO Okpu, OE Taylor, ND Nwiabu, D Matthias - International Journal, 2024 - academia.edu
Strong cybersecurity solutions are becoming more and more important as Internet of Things
(IoT) technology integration in healthcare settings develops. This study offers a method for …