Federated transfer learning-based ids for the internet of medical things (iomt)

Y Otoum, Y Wan, A Nayak - 2021 IEEE Globecom Workshops …, 2021 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) is a set of medical devices and applications that
connect to healthcare systems through the Internet. Those devices are equipped with …

Federated and transfer learning-empowered intrusion detection for IoT applications

Y Otoum, V Chamola, A Nayak - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) can be described as a considerable number of sensors and
physical devices connected to different applications, supported with networking …

Fed-inforce-fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks

IA Khan, I Razzak, D Pi, N Khan, Y Hussain, B Li… - Information …, 2024 - Elsevier
Abstract Internet of Medical Things (IoMT) has emerged as a combination of sensors,
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …

An intrusion detection system for internet of medical things

G Thamilarasu, A Odesile, A Hoang - IEEE Access, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) is making strong advances in healthcare with the promise of
transformation in technological, social and economic prospects, paving the way for a healthy …

[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 …

An intrusion detection mechanism for secured IoMT framework based on swarm-neural network

S Nandy, M Adhikari, MA Khan… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The seamless integration of medical sensors and the Internet of Things (IoT) in smart
healthcare has leveraged an intelligent Internet of Medical Things (IoMT) framework to …

Federated reinforcement learning-supported IDS for IoT-steered healthcare systems

S Otoum, N Guizani, H Mouftah - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
Wireless Networks lack clear boundaries which leads to security concerns and
vulnerabilities to numerous kinds of intrusions. With the growth of cyber intruders, the risks …

Federated intrusion detection in NG-IoT healthcare systems: An adversarial approach

I Siniosoglou, P Sarigiannidis… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
In recent years and with the advancement of IoT networks, malicious intrusions aiming at
disrupting the services and getting access to confidential information in medical …

[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-Based Systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

Detecting network attacks using federated learning for iot devices

O Shahid, V Mothukuri, S Pouriyeh… - 2021 IEEE 29th …, 2021 - ieeexplore.ieee.org
Billions of IoT devices are connected to networks all around us, enabling cyber-physical
systems. These devices can carry and generate user-sensitive data, examples of such …