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 …

Intrusion detection in internet of things-based smart farming using hybrid deep learning framework

K Kethineni, G Pradeepini - Cluster Computing, 2024 - Springer
Smart agriculture is a popular domain due to its intensified growth in recent times. This
domain aggregates the advantages of several computing technologies, where the IoT is the …

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 …

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 …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

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 …

DL‐IDS: a deep learning–based intrusion detection framework for securing IoT

Y Otoum, D Liu, A Nayak - Transactions on Emerging …, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …

Toward a lightweight intrusion detection system for the internet of things

SU Jan, S Ahmed, V Shakhov, I Koo - IEEE access, 2019 - ieeexplore.ieee.org
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …

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 …