Software Defined Network Frameworks

Software Defined Network Frameworks

"Software Defined Networks SDN work by virtualization of the network and the Cognitive Software Defined Network CSDN combines the efficiencies of SDN with cognitive learning algorithms and enhanced protocols to automatize SDN. Partial deployment of SDN along with traditional networking devices forms a Hybrid Software Defined Network HSDN. Software Defined Network Frameworks Security Issues and Use Cases consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from use of various SDN frameworks and the security challenges thus introduced, are also discussed. Overall, this book explains the different architectures of SDNs and the security needs for implementing them. It illustrates different frameworks of software defined networks SDN and their security issues in a single volume and discusses design and assessment of efficient SDN northbound southbound interfaces. It also describes cognitive computing, affective computing, machine learning and other novel tools while illustrating coupling of SDN and traditional networking Hybrid SDN. The book explores services, technologies, algorithms and methods for data analysis in CSDN and is aimed at researchers and graduate students in software engineering, network security, computer networks, high performance computing, communications engineering, intelligent systems"--

Software-Defined Network Frameworks

Software-Defined Networks (SDN) work by virtualization of the network and the Cognitive Software-Defined Network (CSDN) combines the efficiencies of SDN with cognitive learning algorithms and enhanced protocols to automatize SDN. Partial deployment of SDN along with traditional networking devices forms a Hybrid Software-Defined Network (HSDN). Software-Defined Network Frameworks: Security Issues and Use Cases consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from the use of various SDN frameworks and the security challenges thus introduced, are also discussed. Overall, this book explains the different architectures of SDNs and the security challenges needed for implementing them. Features: Illustrates different frameworks of SDN and their security issues in a single volume Discusses design and assessment of efficient SDN northbound/southbound interfaces Describes cognitive computing, affective computing, machine learning, and other novel tools Illustrates coupling of SDN and traditional networking – Hybrid SDN Explores services, technologies, algorithms, and methods for data analysis in CSDN The book is aimed at researchers and graduate students in software engineering, network security, computer networks, high performance computing, communications engineering, and intelligent systems.

SDN - Software Defined Networks