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
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