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 …

SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles

R Kumar, P Kumar, R Tripathi, GP Gupta… - Computer Networks, 2021 - Elsevier
The current advancement in Unmanned Aerial Vehicles (UAVs) and the proliferation of the
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …

High-performance intrusion detection system for networked UAVs via deep learning

Q Abu Al-Haija, A Al Badawi - Neural Computing and Applications, 2022 - Springer
Abstract Recently, Unmanned Aerial Vehicles (UAVs) have become a widely popular
technology with remarkable growth and unprecedented attention. However, UAV …

A fog computing framework for intrusion detection of energy-based attacks on UAV-assisted smart farming

J Sajid, K Hayawi, AW Malik, Z Anwar, Z Trabelsi - Applied Sciences, 2023 - mdpi.com
Precision agriculture and smart farming have received significant attention due to the
advancements made in remote sensing technology to support agricultural efficiency. In large …

An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection

SK Bhoi, KK Jena, SK Panda, HV Long… - Microprocessors and …, 2021 - Elsevier
Rice is a very essential food for the survival of human society. Most of the people focus on
production of rice for their financial gain as well as their survival in the society. Rice …

A self-adaptive intrusion detection system for securing UAV-to-UAV communications based on the human immune system in UAV networks

R Fotohi, M Abdan, S Ghasemi - Journal of Grid Computing, 2022 - Springer
Today, the use of Unmanned aerial vehicles (UAVs) technology has made significant
progress due to its widespread use. UAVs are widely used in agriculture, commercial …

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 …

Development of an IoT architecture based on a deep neural network against cyber attacks for automated guided vehicles

M Elsisi, MQ Tran - Sensors, 2021 - mdpi.com
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks
based on a developed deep neural network (DNN) with a rectified linear unit in order to …

Intrusion detection of UAVs based on the deep belief network optimized by PSO

X Tan, S Su, Z Zuo, X Guo, X Sun - Sensors, 2019 - mdpi.com
With the rapid development of information technology, the problem of the network security of
unmanned aerial vehicles (UAVs) has become increasingly prominent. In order to solve the …

Deep learning and smart contract-assisted secure data sharing for IoT-based intelligent agriculture

R Kumar, P Kumar, A Aljuhani… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
The recent development of Internet of Things (IoT) and unmanned aerial vehicles (UAVs)
has revolutionized traditional agriculture with intelligence and automation. In a typical …