SDN TCP-SYN Dataset: A dataset for TCP-SYN flood DDoS attack detection in software-defined networks. [PDF]
Kumar S, Gupta S.
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Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach. [PDF]
Yi Y, Peng L.
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Effective DDoS attack detection in software-defined vehicular networks using statistical flow analysis and machine learning. [PDF]
Babbar H, Rani S, Driss M.
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IoT-DH dataset for classification, identification, and detection DDoS attack in IoT. [PDF]
Saif S, Widyawan W, Ferdiana R.
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DDoS attack detection in smart grid network using reconstructive machine learning models. [PDF]
Naqvi SSA, Li Y, Uzair M.
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A novel multi-scale CNN and Bi-LSTM arbitration dense network model for low-rate DDoS attack detection. [PDF]
Yin X, Fang W, Liu Z, Liu D.
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STAG-GuardNet: UAV-Assisted Spatio-Temporal Attack Graph Learning for Secure IoT Communication in Smart EV Charging Networks. [PDF]
Alshdadi AA.
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Liquid neural networks for adaptive DDoS detection in IoT and SDN environments. [PDF]
Raza M, Sattar MA, Jahangir Z, Billah M.
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Optimization-driven machine learning intrusion detection systems for resource-constrained internet of things challenges: a systematic review and future directions. [PDF]
Al-Matarneh FM, Al-Hameli BA.
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