Title: Design and analysis of a robust security layer for software defined network framework

Authors: Ali Nadim Alhaj; Narottam Das Patel; Ajeet Singh; Rohit Kumar Bondugula; Mohsin Furkh Dar; Jameel Ahamed

Addresses: AI Lab, School of Computer and Information Sciences, University of Hyderabad, Hyderabad – 500046, India ' School of Computing Science and Engineering (SCSE), VIT Bhopal University, Kothrikalan, Sehore Madhya Pradesh – 466114, India ' School of Computing Science and Engineering (SCSE), VIT Bhopal University, Kothrikalan, Sehore Madhya Pradesh – 466114, India ' AI Lab, School of Computer and Information Sciences, University of Hyderabad, Hyderabad – 500046, India ' AI Lab, School of Computer and Information Sciences, University of Hyderabad, Hyderabad – 500046, India ' Department of CS and IT, Maulana Azad National Urdu University, Hyderabad – 500032, India

Abstract: The rapid expansion of networks has given rise to numerous challenges and issues. In recent years, one idea that has captivated researchers is segregating the forwarding and control levels, which emerged with software-defined networking (SDN) frameworks. Despite centralised management and network administration advantages, SDN networks have encountered several issues, with safety and reliability being the most prominent. This paper proposes a comprehensive robust security architecture for SDN networks that consists of modular components. Each module addresses a specific security challenge, and by integrating these security solutions, we aim to establish a cohesive security framework for SDN. Furthermore, we propose a robust security algorithm capable of effectively mitigating critical security attacks such as DDoS, ARP, and MITM. Our approach involves developing a multi-level security algorithm to counteract most DDoS attacks, while also devising a real-time algorithm specifically designed to handle ARP attacks, including request-replay-ARP DoS attacks.

Keywords: security layer; SDN security; SDN attacks; DDoS attack; MITM attack; network security.

DOI: 10.1504/IJSNET.2024.141613

International Journal of Sensor Networks, 2024 Vol.46 No.1, pp.1 - 14

Received: 21 Jul 2023
Accepted: 05 Oct 2023
Published online: 26 Sep 2024 *

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