ReCSDN: Resilient Controller for Software Defined Networks

Abstract

Software Defined Networking (SDN) is an emerging network paradigm that provides central control over the network. Although, this simplifies the network management and makes efficient use of network resources, it introduces new threats to network reliability and scalability. In fact, a single centralized controller is a single point of failure. Moreover, a single controller may become a performance bottleneck as processing overhead increases. Distributed SDN controller platforms improve the reliability and scalability to some extent, however they remain vulnerable to Distributed Denial of Service (DDoS) attacks, specifically on control plane. We believe that there is a need for a distributed controller framework that is capable of providing service continuity without performance degradation in case of excessive network traffic or DDoS attacks on controller. In this paper, we aim to address the vulnerabilities of SDN control plane. We propose and implement an efficient and Resilient Controller for Software Defined Network (ReCSDN). This framework is capable of detecting and mitigating DDoS attacks timely and ensures the continuity of services without performance degradation. We created an experimental test bed using Mininet to conduct extensive experiments. We deployed ReCSDN on top of Open Network Operating System (ONOS) cluster to confirm the viability of our approach. The experiment results show that with ReCSDN, control plane is not only able to withstand excessive network load but will also continue to provide services in case of any controller failure.

Authors and Affiliations

Soomaiya Hamid, Narmeen Zakaria Bawany, Jawwad Ahmed Shamsi

Keywords

Related Articles

Environments and System Types of Virtual Reality Technology in STEM: a Survey

Virtual Reality (VR) technology has been used widely today in Science, Technology, Engineering and Mathematics (STEM) fields. The VR is emerging computer interface distinguished by high degrees of immersion, trustworthy,...

Novel Intra-Prediction Framework for H.264 Video Compression using Decision and Prediction Mode

With the increasing usage of multimedia contents and advancement of the communication devices (along with services), there is a heavy demand of an effective multimedia compression protocol. In this regards, H.264 has bee...

A Coreference Resolution Approach using Morphological Features in Arabic

Coreference resolution is considered one of the challenges in natural language processing. It is an important task that includes determining which pronouns are referring to which entities. Most of the earlier approaches...

Machine Learning based Predictive Model for Screening Mycobacterium Tuberculosis Transcriptional Regulatory Protein Inhibitors from High-Throughput Screening Dataset

In view of the essential role played by dosRS in the survival of Mycobacterium in the infected granuloma cells, dosRS transcriptional regulatory proteins were considered as a validated target for high throughput screenin...

Fuzzy Delphi Method for Evaluating HyTEE Model (Hybrid Software Change Management Tool with Test Effort Estimation)

When changes are made to a software system during development and maintenance, they need to be tested again i.e. regression test to ensure that changes behave as intended and have not impacted the software quality. This...

Download PDF file
  • EP ID EP260400
  • DOI 10.14569/IJACSA.2017.080826
  • Views 83
  • Downloads 0

How To Cite

Soomaiya Hamid, Narmeen Zakaria Bawany, Jawwad Ahmed Shamsi (2017). ReCSDN: Resilient Controller for Software Defined Networks. International Journal of Advanced Computer Science & Applications, 8(8), 202-208. https://europub.co.uk/articles/-A-260400