A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions. [PDF]
Reddy DS, Kumar KA.
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APATCP: programmable multi-controller framework for real-time detection and mitigation of complex TCP flooding attacks in SD-IoT networks. [PDF]
Alyanbaawi A +5 more
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Retraction Note: Prediction of DDoS attacks in agriculture 4.0 with the help of prairie dog optimization algorithm with IDSNet. [PDF]
Vatambeti R +5 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]
Dudukcu D +4 more
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Advanced security framework for 5G-SDN attack detection and mitigation using Affinity Cohesive Clustering and Improved Chaotic Walrus-Optimized Convolutional LSTM with Deep Dual Info-Varcoder. [PDF]
R S, Rajkumar S.
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A lightweight machine learning approach for DDoS detection and classification. [PDF]
Ebrahem O, Dowaji S, Alhammoud S.
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An enhanced multi-model ensemble learning architecture for robust network intrusion detection. [PDF]
Sireesha D, Kumar KA.
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A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures. [PDF]
Du J.
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Cyber Offending Among Young People: an Analysis of the Correlates for Different Categories of Cyber-Dependent Offending Using the Triple Risk Delinquency Framework. [PDF]
Weulen Kranenbarg M, Gonzalez-Garcia A.
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