Visible to the public Self-organizing Software Defined Mesh Networks to Counter Failures and Attacks

TitleSelf-organizing Software Defined Mesh Networks to Counter Failures and Attacks
Publication TypeConference Paper
Year of Publication2021
AuthorsMani, Santosh, Nene, Manisha J
Conference Name2021 International Conference on Intelligent Technologies (CONIT)
Date Publishedjun
KeywordsAttack Detection and Mitigation, Automation, Chained Attacks, DDoS Attacks, denial-of-service attack, flow tables, Manuals, Mesh networks, network architecture, Policy Based Flow Management (PBFM), pubcrawl, Redundancy, Resiliency, Scalability, SDN, Self-MIDAS, sFlow Agent, sFlow Collector, sFlow-RT, telecommunication traffic
AbstractWith current Traditional / Legacy networks, the reliance on manual intervention to solve a variety of issues be it primary operational functionalities like addressing Link-failure or other consequent complexities arising out of existing solutions for challenges like Link-flapping or facing attacks like DDoS attacks is substantial. This physical and manual approach towards network configurations to make significant changes result in very slow updates and increased probability of errors and are not sufficient to address and support the rapidly shifting workload of the networks due to the fact that networking decisions are left to the hands of physical networking devices. With the advent of Software Defined Networking (SDN) which abstracts the network functionality planes, separating it from physical hardware - and decoupling the data plane from the control plane, it is able to provide a degree of automation for the network resources and management of the services provided by the network. This paper explores some of the aspects of automation provided by SDN capabilities in a Mesh Network (provides Network Security with redundancy of communication links) which contribute towards making the network inherently intelligent and take decisions without manual intervention and thus take a step towards Intelligent Automated Networks.
DOI10.1109/CONIT51480.2021.9498520
Citation Keymani_self-organizing_2021