A survey on artificial intelligence in cybersecurity for smart agriculture: state-of-the-art, cyber threats, artificial intelligence applications, and ethical concerns
Wireless sensor networks and Internet of Things devices are revolutionizing the smart
agriculture industry by increasing production, sustainability, and profitability as connectivity …
agriculture industry by increasing production, sustainability, and profitability as connectivity …
[HTML][HTML] Cybersecurity in smart agriculture: A systematic literature review
Agriculture is essential because of the current and future challenges related to food that our
society must face. Agriculture is a precious resource (asset), and problems with agriculture …
society must face. Agriculture is a precious resource (asset), and problems with agriculture …
[HTML][HTML] Cybersecurity threats and mitigation measures in agriculture 4.0 and 5.0
The primary aim of this study was to explore cybersecurity threats in agriculture 4.0 and 5.0,
as well as possible mitigation strategies. A secondary method was employed involving …
as well as possible mitigation strategies. A secondary method was employed involving …
Factors impacting cybersecurity transformation: An Industry 5.0 perspective
The gamut of emerging technologies from Industry 4.0 provided businesses with potential
opportunities to create new models of products and services. However, the cybersecurity …
opportunities to create new models of products and services. However, the cybersecurity …
[HTML][HTML] Security threats to agricultural artificial intelligence: Position and perspective
In light of their remarkable predictive capabilities, artificial intelligence (AI) models driven by
deep learning (DL) have witnessed widespread adoption in the agriculture sector …
deep learning (DL) have witnessed widespread adoption in the agriculture sector …
Machine Learning-Based Control of Autonomous Vehicles for Solar Panel Cleaning Systems in Agricultural Solar Farms
This paper presents a machine learning (ML)-based approach for the intelligent control of
Autonomous Vehicles (AVs) utilized in solar panel cleaning systems, aiming to mitigate …
Autonomous Vehicles (AVs) utilized in solar panel cleaning systems, aiming to mitigate …
Harnessing Machine Learning Intelligence Against Cyber Threats: Navigating Legal and Ethical Challenges in Global Cyber Investigations
B Singh, C Kaunert, R Gautam - … Entrepreneurial Mindsets With AI, 2024 - igi-global.com
The spread of cyberthreats in the digital age presents serious concerns to national security,
the stability of the economy, and personal privacy. Traditional security methods are unable …
the stability of the economy, and personal privacy. Traditional security methods are unable …
Evaluating risk of IoT adoption in the food supply chain using an integrated interval-valued spherical fuzzy generalised TODIM method
The existing literature has shown that the Internet of Things (IoT) has proven to be beneficial
for managing operations in the food supply chain. However, the potential failures resulting …
for managing operations in the food supply chain. However, the potential failures resulting …
[HTML][HTML] Digitalisation and Cybersecurity: Towards an Operational Framework
As businesses increasingly adopt digital processes and solutions to enhance efficiency and
productivity, they face heightened cybersecurity threats. Through a systematic literature …
productivity, they face heightened cybersecurity threats. Through a systematic literature …
Cyber threat indicators extraction based on contextual knowledge prompt
H Tang, D Lin, W Li, W Zhang, J Zhao - Computer Networks, 2024 - Elsevier
Abstract Extracting Indicators of Compromise (IOC) from security-related social data (eg,
security blogs, hacker forums) is crucial for predicting cyber risks and mitigating cyber …
security blogs, hacker forums) is crucial for predicting cyber risks and mitigating cyber …