Near real-time security system applied to SDN environments in IoT networks using convolutional neural network

•The proposal of a security system for SDN environments against inward DDoS attacks.•The system indirectly protects victims’ servers by mitigating the DDoS at the source-end network.•We evaluate and compare the efficiency of distinct fast DDoS detection techniques applied on SDNs. [Display omitted]...

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Veröffentlicht in:	Computers & electrical engineering 2020-09, Vol.86, p.106738, Article 106738
Hauptverfasser:	de Assis, Marcos V.O., Carvalho, Luiz F., Rodrigues, Joel J.P.C., Lloret, Jaime, Proença Jr, Mario L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Botnet CNN Cybersecurity DDoS Deep Learning Denial of service attacks Heterogeneity Internet of Things Neural networks Real time Security management Security systems Software-defined Network Software-defined networking Traffic control
Online-Zugang:	Volltext
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