[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] Cybersecurity for Sustainable Smart Healthcare: State of the Art, Taxonomy, Mechanisms, and Essential Roles

G Ali, MM Mijwil - Mesopotamian Journal of …, 2024 - journals.mesopotamian.press
Cutting-edge technologies have been widely employed in healthcare delivery, resulting in
transformative advances and promising enhanced patient care, operational efficiency, and …

[HTML][HTML] Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review

R Wolniak, K Stecuła - Smart Cities, 2024 - mdpi.com
As urbanization continues to pose new challenges for cities around the world, the concept of
smart cities is a promising solution, with artificial intelligence (AI) playing a central role in this …

Attack detection for medical cyber-physical systems–a systematic literature review

SB Weber, S Stein, M Pilgermann, T Schrader - IEEE Access, 2023 - ieeexplore.ieee.org
The threat situation due to cyber attacks in hospitals is emerging and patient life is at risk.
One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS) …

[HTML][HTML] Cybersecurity analysis of wearable devices: smartwatches passive attack

AG Silva-Trujillo, MJ González González… - Sensors, 2023 - mdpi.com
Wearable devices are starting to gain popularity, which means that a large portion of the
population is starting to acquire these products. This kind of technology comes with a lot of …

A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective

ECP Neto, S Dadkhah, S Sadeghi, H Molyneaux… - Computer …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …

[HTML][HTML] Optimized machine learning enabled intrusion detection 2 system for internet of medical things

Z Sun, G An, Y Yang, Y Liu - Franklin Open, 2024 - Elsevier
This research paper proposes an intrusion detection system that combines particle swarm
optimization and AdaBoost algorithms to classify and detect malware-related records in …

[HTML][HTML] Overview of Protocols and Standards for Wireless Sensor Networks in Critical Infrastructures

S Daousis, N Peladarinos, V Cheimaras… - Future Internet, 2024 - mdpi.com
This paper highlights the crucial role of wireless sensor networks (WSNs) in the surveillance
and administration of critical infrastructures (CIs), contributing to their reliability, security, and …

[PDF][PDF] Mitigating cybersecurity risks in the US healthcare sector

CM Okafor, A Kolade, T Onunka… - … Journal of Research …, 2023 - researchgate.net
The US healthcare's digital transformation yields enhanced care, efficient data management,
and streamlined operations. This qualitative study uses an analytical case study method to …

A Comparative Study of Anomaly Detection Techniques for IoT Security using AMoT (Adaptive Machine Learning for IoT Threats)

D Alsalman - IEEE Access, 2024 - ieeexplore.ieee.org
Anomaly detection is a critical aspect of various applications, including security, healthcare,
and network monitoring. In this study, we introduce FusionNet, an innovative ensemble …