[HTML][HTML] Artificial intelligence for IoMT security: A review of intrusion detection systems, attacks, datasets and Cloud-Fog-Edge architectures

ML Hernandez-Jaimes, A Martinez-Cruz… - Internet of Things, 2023 - Elsevier
Recent advances in the Internet of Medical Things (IoMT) have impacted traditional medical
treatment and have evolved data communications in the Smart Healthcare scenario …

[HTML][HTML] Towards a secure and sustainable internet of medical things (iomt): Requirements, design challenges, security techniques, and future trends

B Bhushan, A Kumar, AK Agarwal, A Kumar… - Sustainability, 2023 - mdpi.com
Recent advances in machine-to-machine (M2M) communications, mini-hardware
manufacturing, and micro computing have led to the development of the Internet of Things …

[HTML][HTML] Detection of distributed denial of service (DDoS) attacks in IOT based monitoring system of banking sector using machine learning models

U Islam, A Muhammad, R Mansoor, MS Hossain… - Sustainability, 2022 - mdpi.com
Cyberattacks can trigger power outages, military equipment problems, and breaches of
confidential information, ie, medical records could be stolen if they get into the wrong hands …

Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization

IF Kilincer, F Ertam, A Sengur, RS Tan… - Biocybernetics and …, 2023 - Elsevier
Widespread proliferation of interconnected healthcare equipment, accompanying software,
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …

[HTML][HTML] A particle swarm optimization and deep learning approach for intrusion detection system in internet of medical things

R Chaganti, A Mourade, V Ravi, N Vemprala, A Dua… - Sustainability, 2022 - mdpi.com
Integrating the internet of things (IoT) in medical applications has significantly improved
healthcare operations and patient treatment activities. Real-time patient monitoring and …

Dew-cloud-based hierarchical federated learning for intrusion detection in IoMT

P Singh, GS Gaba, A Kaur, M Hedabou… - IEEE journal of …, 2022 - ieeexplore.ieee.org
The coronavirus pandemic has overburdened medical institutions, forcing physicians to
diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more …

Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network

J Wang, H Jin, J Chen, J Tan, K Zhong - Information Sciences, 2022 - Elsevier
IoMT technology has many advantages in healthcare system, such as optimizing the
medical service model, improving the efficiency of hospital operation and management, and …

Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review

S Messinis, N Temenos, NE Protonotarios… - Computers in Biology …, 2024 - Elsevier
Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

[HTML][HTML] Enhanced cyber attack detection process for internet of health things (IoHT) devices using deep neural network

KP Vijayakumar, K Pradeep, A Balasundaram… - Processes, 2023 - mdpi.com
Internet of Health Things plays a vital role in day-to-day life by providing electronic
healthcare services and has the capacity to increase the quality of patient care. Internet of …

Deep learning-based network intrusion detection system for Internet of medical things

V Ravi, TD Pham, M Alazab - IEEE internet of things magazine, 2023 - ieeexplore.ieee.org
This article presents a deep learning-based approach for network-based intrusion detection
in the Internet of medical things (IoMT) systems using features of network flows and patient …