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DOI: 10.14569/IJACSA.2017.080474
PDF

Mitigating Address Spoofing Attacks in Hybrid SDN

Author 1: Fahad Ubaid
Author 2: Rashid Amin
Author 3: Faisal Bin Ubaid
Author 4: Muhammad Muwar Iqbal

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 4, 2017.

  • Abstract and Keywords
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Abstract: Address spoofing attacks like ARP spoofing and DDoS attacks are mostly launched in a networking environment to degrade the performance. These attacks sometimes break down the network services before the administrator comes to know about the attack condition. Software Defined Networking (SDN) has emerged as a novel network architecture in which date plane is isolated from the control plane. Control plane is implemented at a central device called controller. But, SDN paradigm is not commonly used due to some constraints like budget, limited skills to control SDN, the flexibility of traditional protocols. To get SDN benefits in a traditional network, a limited number of SDN devices can be deployed among legacy devices. This technique is called hybrid SDN. In this paper, we propose a new approach to automatically detect the attack condition and mitigate that attack in hybrid SDN. We represent the network topology in the form of a graph. A graph based traversal mechanism is adopted to indicate the location of the attacker. Simulation results show that our approach enhances the network efficiency and improves the network security.

Keywords: Communication system security; Network Security; ARP Spoofing Introduction

Fahad Ubaid, Rashid Amin, Faisal Bin Ubaid and Muhammad Muwar Iqbal, “Mitigating Address Spoofing Attacks in Hybrid SDN” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080474

@article{Ubaid2017,
title = {Mitigating Address Spoofing Attacks in Hybrid SDN},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080474},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080474},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Fahad Ubaid and Rashid Amin and Faisal Bin Ubaid and Muhammad Muwar Iqbal}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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