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 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 …

Intrusion detection framework using an improved deep reinforcement learning technique for IoT network

P May raju, GP Gupta - … for Security Applications: Proceedings of ICSCS …, 2022 - Springer
With the exponential increase in usage of the Internet-based services in various smart cities,
and smart environment applications, several cyber-attacks are reported in recent years in …

Federated learning-based intrusion detection in SDN-enabled IIoT networks

PT Duy, T Van Hung, NH Ha… - … on Information and …, 2021 - ieeexplore.ieee.org
Witnessing the explosion in the number of Internet of Things (IoTs) in industries, Software
Defined Networking (SDN) is considered as a flexible, efficient, and programmable …

Deep reinforcement learning for intrusion detection in IoT: A survey

A Gueriani, H Kheddar… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The rise of new complex attacks scenarios in Internet of things (IoT) environments
necessitate more advanced and intelligent cyber defense techniques such as various …

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 …

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 …

A survey on learning-based intrusion detection systems for IoT networks

S Abdelhamid, M Aref, I Hegazy… - 2021 Tenth …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) networks have developed tremendously over the past years. The
main concept behind this technology is to facilitate information exchange between devices …

Robust distributed intrusion detection system for edge of things

W Lalouani, M Younis - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
The edge computing paradigm has been adopted in many Internet-of-Things (IoT)
applications to improve responsiveness and conserve communication resources. However …

GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening

I Ioannou, P Nagaradjane, P Angin… - Computer …, 2024 - Elsevier
The increasing use of Internet of Things (IoT) gadgets in a daily rate has heightened security
apprehension, particularly within the healthcare sector. In order to prevent the unauthorized …