Advancing Machine Learning Strategies for Power Consumption-Based IoT Botnet Detection. [PDF]
Sensors (Basel)Wakili AA +4 more
europepmc +1 more source
Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm. [PDF]
PeerJ Comput SciElwahsh H +7 more
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A Comprehensive and Unified Survey on Blockchain-Enabled SDN Cybersecurity: Industry Use Cases, Threat Landscapes, Defense Architectures, and Open Challenges. [PDF]
Sensors (Basel)Dudukcu D +4 more
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An integrated evolution-aware meta-learning framework with adversarial morphological augmentation for zero-day threat detections. [PDF]
Front Artif IntellLanka K, Shaik K.
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Fed-DTCN: A Federated Disentangled Learning Framework for Unsupervised Zero-Day Anomaly Detection in IoT with Semantic-Aware Augmentation. [PDF]
Sensors (Basel)Khan MA, Khalid O, Rais RNB.
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A Novel Architecture for Mitigating Botnet Threats in AI-Powered IoT Environments. [PDF]
Sensors (Basel)Memos VA +4 more
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Minimum Vertex Cut with Reachable Set (MVCRS) Problem for Suppressing Botnet Propagation in IoT Networks: Complexity and Algorithms. [PDF]
Sensors (Basel)Yamaguchi S.
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Combination of quantum-based optimizer and feature pyramid network for intrusion detection in Cloud-IoT environments. [PDF]
Sci RepHajlaoui R +3 more
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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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Robust IoT security using isolation forest and one class SVM algorithms. [PDF]
Sci RepZahoor A +3 more
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