Advanced Defence Mechanisms for Future Network Security using SDN
Jisha S Najeem1, Prabhakar Krishnan2

1Jisha S Najeem, Amrita Center for Cybersecurity Systems and Networks, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Amritapuri, (Kerala), India.
2Prabhakar Krishnan, Amrita Center for Cybersecurity Systems and Networks, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Amritapuri, (Kerala), India.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 686-690 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2764037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Currently, the technology landscape is growing at a tremendous pace and new networking paradigms are emerging such as “Software-Defined-Network (SDN), Network-Function-Virtualization (NFV), Internet-of-Things (IoT), Industrial Internet (IIoT, SCADA), Industry 4.0, SDWAN, Software defined infrastructure (SDX), Internet Exchange Points (IXP), Software Defined Perimeter (SDP), M2M” and many more. Conventional network defence mechanisms are not sophisticated enough to overcome these challenges as they can detect only the rudimentary attacks, permitting attackers in exploiting the vulnerabilities in the modern network. In this paper, we proposed various novel secure and distributed SDN-based defence architectures for legacy networks, containing dedicated engines for traffic management, behavioural analysis and Anomaly detection. We have also conducted a comprehensive study of state-of-the-art defence mechanisms and frameworks that have evolved to resolve security problems of the future networks and our study compares the efficacy of our proposed defence mechanism.
Keywords: SDN, IoT, NFV, Intrusion Detection Systems (IDS), Network Security, , Network defence, OpenFlow.
Scope of the Article: High Speed Networks