[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical …

IH Sarker, H Janicke, MA Ferrag, A Abuadbba - Internet of Things, 2024 - Elsevier
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …

[HTML][HTML] IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics

S Rudrakar, P Rughani - Information Processing in Agriculture, 2023 - Elsevier
Abstract IoT based agriculture (Ag-IoT) is an emerging communication technology that is
widely adopted by agricultural entrepreneurs and farmers to perform agricultural agro …

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) …

[HTML][HTML] Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automation

M Padhiary, D Saha, R Kumar, LN Sethi… - Smart Agricultural …, 2024 - Elsevier
The automation of all-terrain vehicles (ATVs) through the integration of advanced
technologies such as machine learning (ML) and artificial intelligence (AI) vision has …

[HTML][HTML] A review on security of smart farming and precision agriculture: Security aspects, attacks, threats and countermeasures

A Yazdinejad, B Zolfaghari, A Azmoodeh… - Applied Sciences, 2021 - mdpi.com
In recent years, Smart Farming (SF) and Precision Agriculture (PA) have attracted attention
from both the agriculture industry as well as the research community. Altogether, SF and PA …

Security in IoT-enabled smart agriculture: Architecture, security solutions and challenges

A Vangala, AK Das, V Chamola, V Korotaev… - Cluster …, 2023 - Springer
Agricultural industry is one of the most vital industries that has a major contribution to the
economy due to its share in the Gross Domestic Product (GDP) and as a source of …

[HTML][HTML] Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems

HT Bui, H Aboutorab, A Mahboubi, Y Gao… - Computers & …, 2024 - Elsevier
The digitisation of agriculture, integral to Agriculture 4.0, has brought significant benefits
while simultaneously escalating cybersecurity risks. With the rapid adoption of smart farming …

Attribute-based access control for AWS internet of things and secure industries of the future

S Bhatt, TK Pham, M Gupta, J Benson, J Park… - IEEE …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is revolutionizing and enhancing the quality of human lives in every
aspect. With a disruption of IoT devices and applications, attackers are leveraging weak …

Collection of data with drones in precision agriculture: Analytical model and LoRa case study

A Caruso, S Chessa, S Escolar… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are autonomous devices employed as data collectors in
precision agriculture to support a large number of applications. These UAVs gather data …

AgriSecure: A fog computing-based security framework for agriculture 4.0 via blockchain

S Padhy, M Alowaidi, S Dash, M Alshehri, PP Malla… - Processes, 2023 - mdpi.com
Every aspect of the 21st century has undergone a revolution because of the Internet of
Things (IoT) and smart computing technologies. These technologies are applied in many …