Secured and load balanced content aware routing in software defined networks

Abstract

Routing in any communication network is a complicated task, due newlineto its ever-changing nature. Software Defined Network (SDN) is the widely newlineused technology in the future communication networks, that provides smart newlinerouting through OpenFlow enabled switches. Information Centric Network newline(ICN) has some unique routing features that minimize the congestion in the newlinenetwork through content awareness. This characteristic of ICN is used for newlineoptimal routing in SDN. newlineThe decoupled nature of SDN segregates data forwarding from newlinecentralized management and interactive resource sharing. With the rapid newlinegrowth in services and applications, they are vulnerable to possible network newlineattacks and face several security challenges. Intrusion detection has widely newlinebeen used to ensure network security, but classical detection methods fail to newlinedetect the attacks intelligently. newlineThe key characteristics of SDN and ICN enable the researchers to newlineconcentrate on the ways to improve the Quality of Service (QoS) newlinecharacteristics of the network. Though ICN is more advantageous, there are newlinecertain issues due to the dynamic nature of network. The concepts of Machine newlineLearning have been used in the proposed work to solve these difficulties. newlineContent Aware Routing in SDN still holds some key areas to be addressed for newlineimproving the QoS metrics of the network through content caching capability. newlineThe proposed work defends against network security attacks in a newlinemultipath routing environment and improves the utilization of bandwidth in newlinean effective manner. It also enhances the performance of load balancing in newlineSDN through the concepts of Optimization Techniques, Deep Learning, newlineReinforcement Learning and Ensemble Learning. newline newline