A survey on artificial intelligence in cybersecurity for smart agriculture: State-of-the-art, cyber threats, artificial intelligence applications, and ethical concerns

G Ali, MM Mijwil, BA Buruga… - Mesopotamian …, 2024 - journals.mesopotamian.press
Wireless sensor networks and Internet of Things devices are revolutionizing the smart
agriculture industry by increasing production, sustainability, and profitability as connectivity …

[HTML][HTML] Harnessing the Power of an Integrated Artificial Intelligence Model for Enhancing Reliable and Efficient Dental Healthcare Systems

SM Nour, RS Shehab, SA Said… - Applied System Innovation, 2025 - mdpi.com
Nowadays, efficient dental healthcare systems are considered significant for upholding oral
health. Also, the ability to utilize artificial intelligence for evaluating complex data implies that …

Deep Learning Performance Evaluation Model for Enhancing Network Intrusion Detection Systems

SM Nour, SA Said - 2024 6th Novel Intelligent and Leading …, 2024 - ieeexplore.ieee.org
Network intrusion detection systems (NIDSs) play an important role in protecting network
infrastructure from cyber threats. Traditional NIDS often rely on signature-based or rule …

Bridging the Protection Gap: Innovative Approaches to Shield Older Adults from AI-Enhanced Scams

LD Herrera, L Van Sickle… - 2024 Cyber Awareness …, 2024 - ieeexplore.ieee.org
Artificial Intelligence (AI) is rapidly gaining popularity as individuals, groups, and
organizations discover and apply its expanding capabilities. Generative AI creates or alters …

Performance Evaluation Framework for Insider Threat Detection Using Machine Learning

HEE Abdallah, HH Abd-Elkader… - 2024 Intelligent …, 2024 - ieeexplore.ieee.org
Nowadays, malicious behavior identification is considered a significant and challenging
issue in cybersecurity. To mitigate this problem, an effective detection system can be a …

How the Power of Machine–Machine Learning, Data Science and NLP Can Be Used to Prevent Spoofing and Reduce Financial Risks

SR Chanthati - 2021 - digitalcommons.harrisburgu.edu
This paper discusses the potential of machine learning, data science, and natural language
processing (NLP) in mitigating the incidence of spoofing and financial risks hinged on cyber …

AI-Powered Spam Detection: Techniques and Effectiveness in Online Environments

S Ljungberg, E Popescu - Baltic Multidisciplinary journal, 2024 - balticjournals.com
Spam poses a significant threat to online environments, compromising user experience and
cybersecurity. Traditional spam detection methods struggle to keep pace with the evolving …