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 …

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 …

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 …

Deep learning-based intrusion detection for distributed denial of service attack in agriculture 4.0

MA Ferrag, L Shu, H Djallel, KKR Choo - Electronics, 2021 - mdpi.com
Smart Agriculture or Agricultural Internet of things, consists of integrating advanced
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …

Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms

H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …

Machine-learning-based uav-assisted agricultural information security architecture and intrusion detection

R Fu, X Ren, Y Li, Y Wu, H Sun… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicle (UAV) remote sensing has developed rapidly in
the field of farmland information monitoring. Real-time and accurate access to farmland …

Cyber security for detecting distributed denial of service attacks in agriculture 4.0: Deep learning model

THH Aldhyani, H Alkahtani - Mathematics, 2023 - mdpi.com
Attackers are increasingly targeting Internet of Things (IoT) networks, which connect
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …

Intrusion detection using machine learning for risk mitigation in IoT‐enabled smart irrigation in smart farming

A Raghuvanshi, UK Singh, GS Sajja… - Journal of Food …, 2022 - Wiley Online Library
The majority of countries rely largely on agriculture for employment. Irrigation accounts for a
sizable amount of water use. Crop irrigation is an important step in crop yield prediction …

An optimized CNN-based intrusion detection system for reducing risks in smart farming

A El-Ghamry, A Darwish, AE Hassanien - Internet of Things, 2023 - Elsevier
Smart farming is a well-known and superior method of managing a farm, becoming more
prevalent in today's contemporary agricultural practices. Crops are monitored for their …

Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review

MA Alsoufi, S Razak, MM Siraj, I Nafea, FA Ghaleb… - Applied sciences, 2021 - mdpi.com
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …