[HTML][HTML] IoT anomaly detection methods and applications: A survey

A Chatterjee, BS Ahmed - Internet of Things, 2022 - Elsevier
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

[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] A systematic literature review on machine and deep learning approaches for detecting attacks in RPL-based 6LoWPAN of internet of things

TA Al-Amiedy, M Anbar, B Belaton, AHH Kabla… - Sensors, 2022 - mdpi.com
The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6
Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in …

Hierarchical federated learning based anomaly detection using digital twins for smart healthcare

D Gupta, O Kayode, S Bhatt, M Gupta… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart
medical devices and applications used in smart hospitals, smart-home based care, 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] 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 …

An anomaly detection model for IoT networks based on flow and flag features using a feed-forward neural network

I Ullah, QH Mahmoud - 2022 IEEE 19th Annual Consumer …, 2022 - ieeexplore.ieee.org
The security of IoT networks is becoming increasingly challenging, and anomaly detection
for IoT network traffic is a critical technique for addressing this issue. However, extracting …

[HTML][HTML] Anomaly detection for iot systems using active learning

M Zakariah, AS Almazyad - Applied Sciences, 2023 - mdpi.com
The prevalence of Internet of Things (IoT) technologies is on the rise, making the
identification of anomalies in IoT systems crucial for ensuring their security and reliability …

[PDF][PDF] An Intelligent Machine Learning Approach for Fraud Detection in Medical Claim Insurance: A Comprehensive Study

S Agarwal - Scholars Journal of Engineering and Technology, 2023 - saspublishers.com
Medical claim insurance fraud poses a significant challenge for insurance companies and
the healthcare system, leading to financial losses and reduced efficiency. In response to this …

[HTML][HTML] Model-driven impact quantification of energy resource redundancy and server rejuvenation on the dependability of medical sensor networks in smart hospitals

FA Silva, C Brito, G Araújo, I Fé, M Tyan, JW Lee… - Sensors, 2022 - mdpi.com
The spread of the Coronavirus (COVID-19) pandemic across countries all over the world
urges governments to revolutionize the traditional medical hospitals/centers to provide …