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Network attacks classification using Long Short-Term memory based neural networks in Software-Defined NetworksSDN (Software-Defined Network) is a network in which the control plane functionality is separated

EXTRACTION of TRAFFIC FEATURES in SOFTWARE-DEFINED NETWORKS USING AN SDN CONTROLLER on software-defined networks. For such methods, it is necessary to prepare a large amount of initial data

Using GRU based deep neural network for intrusion detection in software-defined networks of intrusion detection in software-defined networks (SDN). The work is devoted to the research and development

Analytical model for software defined network considering memory node for routing rulesIn this work a software defined network (SDN) is studied as a queueing network. The main point

SDN approach to control internet of thing medical applications traffic and built on the basis of software defined network concepts. For a more realistic experiment is considered a

Development and Investigation of model network IMT2020 with the use of MEC and Voice Assistant technologies using voice assistants (VA) based on software-defined (SDN) networks and mobile edge computing (MEC

Analytical model for Software Defined Network delay estimation, it is necessary to reconsider the network architecture. Software-Defined Networking (SDN) is a new network

Dependability modeling of Software Defined Networking© 2015 Elsevier B.V. Software Defined Networking (SDN) is a new network design paradigm that aims

Graphs for information security control in software defined networksInformation security control in software defined networks (SDN) is connected with execution

A mobile edge computing/software-defined networking-enabled architecture for vehicular networks) and software-defined networking (SDN) technologies to increase the overall network reliability and scalability

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