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Machine Learning-Based Traffic Classification in Software-Defined Networking: A Systematic Literature Review, Challenges, and Future Research Directions
ArticleAbstract: The growing diversification of Internet applications and the continuous evolution of network infrastPalabras claves:deep learning, Machine learning, Softwaredefined networking, traffic classificationAutores:Daniel Nu˜nez-Agurto, Luis Marrone, Marrone L.A., Mayra MacAs, WALTER MARCELO FUERTES DÍAZFuentes:scopusTraffic Classification in Software-Defined Networking by Employing Deep Learning Techniques: A Systematic Literature Review
Abstract: Software-Defined Networking provides a global vision of the network, centralized controller, dynamicPalabras claves:Deep learning, Software-defined networking, Systematic Literature Review, traffic classificationAutores:Daniel Nu˜nez-Agurto, Eduardo Benavides-Astudillo, Marrone L.A., Mitchell Vásquez Bermudez, WALTER MARCELO FUERTES DÍAZFuentes:orcidscopusA Novel Traffic Classification Approach by Employing Deep Learning on Software-Defined Networking
ArticleAbstract: The ever-increasing diversity of Internet applications and the rapid evolution of network infrastrucPalabras claves:BiGRU, BiLSTM, Deep learning, GRU, LSTM, Recurrent Neural Network, SDN, traffic classificationAutores:Christian Coronel-Guerrero, Daniel Nu˜nez-Agurto, Eduardo Benavides-Astudillo, Franklin Perez, Marrone L.A., WALTER MARCELO FUERTES DÍAZFuentes:orcidscopus