A Taxonomy of DDoS Attack Mitigation Approaches Featured by SDN Technologies in IoT Scenarios. [PDF]
Sensors (Basel), 2020 Silva FSD +5 more
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Secure federated learning with metaheuristic optimized dimensionality reduction and multi-head attention for DDoS attack mitigation. [PDF]
Sci RepAlanazi AA +5 more
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DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system. [PDF]
Sci RepUsha G +3 more
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PSO-DT based BagDT: a robust lightweight ensemble framework for efficient feature selection and DDoS attack detection in IoT environment. [PDF]
Sci RepShirley JJ, Priya M.
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GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence. [PDF]
Sci RepAnjum M +6 more
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Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms. [PDF]
Sci RepAbiramasundari S, Ramaswamy V.
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DDoS attack detection method based on improved convolutional long short-term memory and three-way decision in SDN. [PDF]
PLoS OneWang H, Yang X, Jia N.
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Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP. [PDF]
PLoS OneMehmood S +5 more
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Investigating the performance of multivariate LSTM models to predict the occurrence of Distributed Denial of Service (DDoS) attack. [PDF]
PLoS OneKumar P +5 more
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SDN TCP-SYN Dataset: A dataset for TCP-SYN flood DDoS attack detection in software-defined networks. [PDF]
Data BriefKumar S, Gupta S.
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