A Taxonomy of DDoS Attack Mitigation Approaches Featured by SDN Technologies in IoT Scenarios. [PDF]
Sensors (Basel), 2020 Silva FSD +5 more
europepmc +1 more source
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
europepmc +1 more source
GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence. [PDF]
Sci RepAnjum M +6 more
europepmc +1 more source
Development of a DDoS attack mitigation system based on Mikrotik
Розробка системи пом’якшення DDoS атак на базі Mikrotik. // Кваліфікаційна робота ОР «Бакалавр» // Трофимчук Олег Миколайович // Тернопільський національний технічний університет імені Івана Пулюя, факультет комп’ютерно-інформаційних систем і програмної ...
Trofymchuk, Oleh +1 more
core
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.
europepmc +1 more source
Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms. [PDF]
Sci RepAbiramasundari S, Ramaswamy V.
europepmc +1 more source
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.
europepmc +1 more source
Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP. [PDF]
PLoS OneMehmood S +5 more
europepmc +1 more source
Investigating the performance of multivariate LSTM models to predict the occurrence of Distributed Denial of Service (DDoS) attack. [PDF]
PLoS OneKumar P +5 more
europepmc +1 more source