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] Harnessing the Power of an Integrated Artificial Intelligence Model for Enhancing Reliable and Efficient Dental Healthcare Systems
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 …
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
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 …
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 …
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 …
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 …
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 …
cybersecurity. Traditional spam detection methods struggle to keep pace with the evolving …