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A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
ArticleAbstract: Distributed Denial-of-Service (DDoS) attacks are difficult to mitigate with existing defense tools.Palabras claves:deep learning, Deep reinforcement learning, Intrusion detection system, mitigation, Slow rate DDoS, Software defined networkingAutores:Diego Fernando Carrera, Noe M. Yungaicela-Naula, Pérez-Díaz J.A., Vargas-Rosales C.Fuentes:scopusTowards security automation in Software Defined Networks
ReviewAbstract: Software-Defined Networking (SDN) is a modern paradigm that provides a platform for implementing relPalabras claves:deep learning, Machine learning, Network function virtualization, reinforcement learning, Security automation, software defined networksAutores:Noe M. Yungaicela-Naula, Pérez-Díaz J.A., Vargas-Rosales C., Zareei M.Fuentes:scopusSDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning
ArticleAbstract: Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks targetinPalabras claves:Application layer, DDoS attack, deep learning, Machine learning, Slow-rate attacks, Software defined networking, Transport layerAutores:Noe M. Yungaicela-Naula, Pérez-Díaz J.A., Vargas-Rosales C.Fuentes:scopus