Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods
2024 · Journal Of Big Data · 79 citations
https://doi.org/10.1186/s40537-023-00870-w
M
Mohamed H. Behiry
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5
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118
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4
h-index
2
i10-index
Mohamed H. Behiry is an academic researcher from Menoufia University. The author has contributed to research in topics: Network Security and Intrusion Detection & Security in Wireless Sensor Networks & Anomaly Detection Techniques and Applications. The author has an h-index of 4, co-authored 5 publications.
ORCID: 0000-0001-5467-3305Papers by this author
worksAI-based predictive approach via FFB propagation in a driven-cavity of Ostwald de-Waele fluid using CFD-ANN and Levenberg–Marquardt
2024 · Scientific Reports · 16 citations
https://doi.org/10.1038/s41598-024-60401-2
Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach
2025 · Scientific Reports · 6 citations
https://doi.org/10.1038/s41598-025-08436-x
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