An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

SP RM, PKR Maddikunta, M Parimala, S Koppu… - Computer …, 2020 - Elsevier
The entire computing paradigm is changed due to the technological advancements in
Information and Communication Technology (ICT). Due to these advancements, various …

[HTML][HTML] A federated learning-based approach for improving intrusion detection in industrial internet of things networks

MM Rashid, SU Khan, F Eusufzai, MA Redwan… - Network, 2023 - mdpi.com
The Internet of Things (IoT) is a network of electrical devices that are connected to the
Internet wirelessly. This group of devices generates a large amount of data with information …

[Retracted] An AI‐Driven Hybrid Framework for Intrusion Detection in IoT‐Enabled E‐Health

F Wahab, Y Zhao, D Javeed… - Computational …, 2022 - Wiley Online Library
E‐health has grown into a billion‐dollar industry in the last decade. Its device's high
throughput makes it an obvious target for cyberattacks, and these environments desperately …

Federated learning for IoMT applications: A standardization and benchmarking framework of intrusion detection systems

A Alamleh, OS Albahri, AA Zaidan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …

An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things

AN Jahromi, H Karimipour, A Dehghantanha - Computer Communications, 2023 - Elsevier
Abstract Industrial Internet of Things (IIoT) is an emerging technology with prompt evolution
in diverse applications, including critical infrastructure. While the increasing number of IIoT …

[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 …

Survey of Machine Learning based intrusion detection methods for Internet of Medical Things

A Si-Ahmed, MA Al-Garadi, N Boustia - Applied Soft Computing, 2023 - Elsevier
Abstract The Internet of Medical Things (IoMT) allows the collection of physiological data
using sensors, then their transmission to remote servers, permitting physicians and health …

[HTML][HTML] Fedsepsis: A federated multi-modal deep learning-based internet of medical things application for early detection of sepsis from electronic health records …

MU Alam, R Rahmani - Sensors, 2023 - mdpi.com
The concept of the Internet of Medical Things brings a promising option to utilize various
electronic health records stored in different medical devices and servers to create practical …

Towards a deep learning-driven intrusion detection approach for Internet of Things

M Ge, NF Syed, X Fu, Z Baig, A Robles-Kelly - Computer Networks, 2021 - Elsevier
Abstract Internet of Things (IoT) as a paradigm comes with a range of benefits to humanity.
Domains of research for the IoT range from healthcare automation to energy and transport …

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 …