FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things

O Friha, MA Ferrag, L Shu, L Maglaras… - Journal of Parallel and …, 2022 - Elsevier
In this paper, we propose a federated learning-based intrusion detection system, named
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …

An intrusion detection system for edge-envisioned smart agriculture in extreme environment

D Javeed, T Gao, MS Saeed… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The deployment of Internet of Things (IoT) systems in Smart Agriculture (SA) operates in
extreme environments including wind, snowfall, flooding, landscape, and so on for collecting …

Federated learning for distributed IIoT intrusion detection using transfer approaches

J Zhang, C Luo, M Carpenter… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Considering that low-cost and resource-cons-trained sensors coupled inherently could be
vulnerable to growing numbers of intrusion threats, industrial Internet-of-Things (IIoT) …

Internet of things intrusion detection: Centralized, on-device, or federated learning?

SA Rahman, H Tout, C Talhi, A Mourad - IEEE Network, 2020 - ieeexplore.ieee.org
With the ever increasing number of cyber-attacks, internet of Things (ioT) devices are being
exposed to serious malware, attacks, and malicious activities alongside their development …

Cyber security intrusion detection for agriculture 4.0: Machine learning-based solutions, datasets, and future directions

MA Ferrag, L Shu, O Friha… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
In this paper, we review and analyze intrusion detection systems for Agriculture 4.0 cyber
security. Specifically, we present cyber security threats and evaluation metrics used in the …

Efficient intrusion detection toward IoT networks using cloud–edge collaboration

R Yang, H He, Y Xu, B Xin, Y Wang, Y Qu, W Zhang - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …

An ensemble multi-view federated learning intrusion detection for IoT

DC Attota, V Mothukuri, RM Parizi, S Pouriyeh - IEEE Access, 2021 - ieeexplore.ieee.org
The rise in popularity of Internet of Things (IoT) devices has attracted hackers to develop IoT-
specific attacks. The microservice architecture of IoT devices relies on the Internet to provide …

SIDS: A federated learning approach for intrusion detection in IoT using Social Internet of Things

M Amiri-Zarandi, RA Dara, X Lin - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem needs Intrusion Detection Systems (IDS) to
mitigate cyberattacks and exploit security vulnerabilities. Over the past years, utilizing …

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 …

lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning

C Hazman, A Guezzaz, S Benkirane, M Azrour - Cluster Computing, 2023 - Springer
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …