A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment. [PDF]
Sci RepWei X, Dong Y.
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A privacy preserving intrusion detection framework for IIoT in 6G networks using homomorphic encryption and graph neural networks. [PDF]
Sci RepHua B, Xi H.
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A hybrid XGBoost-SVM ensemble framework for robust cyber-attack detection in the internet of medical things (IoMT). [PDF]
Sci RepAbdelhaq M +5 more
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An intelligent deep representation learning with enhanced feature selection approach for cyberattack detection in internet of things enabled cloud environment. [PDF]
Sci RepAlamro H +7 more
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Enhancing cyberthreat defense mechanisms using ensemble of representation learning with binary Ebola optimization search in internet of things environment. [PDF]
Sci RepAlanazi MH +7 more
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Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]
Sci RepQasem MA +5 more
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Intrusion detection with HACDT-Net and TRBM-Net using a hybrid deep learning framework with enhanced sampling techniques. [PDF]
Sci RepPadma Priya N, Mohanbabu G.
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Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks. [PDF]
Sensors (Basel)Sukhni BA, Manna SK, Dave JM, Zhang L.
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Detecting command injection attacks in web applications based on novel deep learning methods. [PDF]
Sci RepWang X, Zhai J, Yang H.
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Construction of VAE-GRU-XGBoost intrusion detection model for network security. [PDF]
PLoS OneChen Y, Zheng X, Wang N.
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