Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique. [PDF]
PeerJ Comput SciMujahid M +4 more
europepmc +1 more source
A drift-aware RS2FS pipeline with confidence gating for IDS. [PDF]
Sci RepSakthivel G, Kumarasamy AK.
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A hybrid improved binary GWO-PSO with random forest (IBGWO-PSO-RF) based intrusion detection model for large-scale attacks in IoT environment. [PDF]
Sci RepAl Abdulwahid A +5 more
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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method. [PDF]
Sensors (Basel)Seyedi B, Postolache O.
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DMSTG-AD: an SDN intrusion detection method based on dynamic multi-scale spatio-temporal graph neural network. [PDF]
Sci RepZhao J, Zhang D, He Q, Lin M, Yang Y.
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Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP. [PDF]
Front Artif IntellRaman R, Kumar R, Edwin Raj B, Akre V.
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The design space of E(3)-equivariant atom-centred interatomic potentials. [PDF]
Nat Mach IntellBatatia I +8 more
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Dataset-centric evaluation of federated intrusion detection models in IoT networks. [PDF]
Sci RepBilal MA +5 more
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An optimized stacking-based TinyML model for attack detection in IoT networks. [PDF]
PLoS OneSharma A, Rani S, Shabaz M.
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Hybrid Ant-Baby Optimizer and BiLSTM framework for high-performance IoT intrusion detection. [PDF]
Front Artif IntellBalakrishnan A, Maddikunta PKR.
europepmc +1 more source