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Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique. [PDF]
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Scalable architecture for autonomous malware detection and defense in software-defined networks using federated learning approaches. [PDF]
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Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework. [PDF]
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Performance analysis of network automation techniques for dense IP networks. [PDF]
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DMSTG-AD: an SDN intrusion detection method based on dynamic multi-scale spatio-temporal graph neural network. [PDF]
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Optimizing internet of things security through blockchain enabled software defined networking. [PDF]
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An efficient federated learning based defense mechanism for software defined network cyber threats through machine learning models. [PDF]
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Routing Protocols for Wireless Body Area Networks: Recent Advances and Open Challenges. [PDF]
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Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning. [PDF]
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