Artificial intelligence-driven cybersecurity system for internet of things using self-attention deep learning and metaheuristic algorithms. [PDF]
Sci RepAlblehai F.
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Secure IoT data dissemination with blockchain and transfer learning techniques. [PDF]
Sci RepAnand P, Singh Y, Singh H.
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A hybrid intrusion detection model based on dynamic spatial-temporal graph neural network in in-vehicle networks. [PDF]
Sci RepZhang J, Fan X, Zhao Z.
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Mitigating distributed denial of service-based cyberattack in federated computing framework using deep reinforcement learning with frilled lizard algorithm. [PDF]
Sci RepMaghrabi LA +6 more
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Understanding phishing discussions on stack overflow and information security stack exchange. [PDF]
Sci RepAlthobaiti K, Tahaei M.
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A novel deep learning framework with temporal attention convolutional networks for intrusion detection in IoT and IIoT networks. [PDF]
Sci RepGhosh KP +4 more
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An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments. [PDF]
Sci RepAlkhonaini MA.
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EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare. [PDF]
Front Big DataShrimali B +5 more
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Adaptive personalized federated learning with lightweight depthwise convolutional bottleneck network for novel intrusion detection system in internet of vehicles. [PDF]
Sci RepAlmansour S +5 more
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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]
PeerJ Comput SciMujahid M +4 more
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