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Title: Automated controller placement for software-defined networks to resist DDoS attacks
Authors: Muhammad Reazul Haque
Tan, Saw Chin
Zulfadzli Yusoff
Kashif Nisar
Lee, Ching Kwang
Rizaludin Kaspin
Chowdhry, Bhawani Shankar
Buyya, Rajkumar
Majumder, Satya Prasad
Gupta, Manoj
Memon, Shuaib
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Muhammad Reazul Haque, Tan, S. C., Zulfadzli Yusoff, Kashif Nisar, Lee, C. K., Rizaludin Kaspin, Chowdhry, B. S., Buyya, R., Majumder, S. P., Gupta, M. & Memon, S. (2021). Automated controller placement for software-defined networks to resist DDoS attacks. Computers, Materials & Continua, 68(3), 3147-3165.
Journal: Computers, Materials & Continua
Abstract: In software-defined networks (SDNs), controller placement is a critical factor in the design and planning for the future Internet of Things (IoT), telecommunication, and satellite communication systems. Existing research has concentrated largely on factors such as reliability, latency, controller capacity, propagation delay, and energy consumption. However, SDNs are vulnerable to distributed denial of service (DDoS) attacks that interfere with legitimate use of the network. The ever-increasing frequency of DDoS attacks hasmade it necessary to consider them in network design, especially in critical applications such as military, health care, and financial services networks requiring high availability. We propose a mathematical model for planning the deployment of SDN smart backup controllers (SBCs) to preserve service in the presence of DDoS attacks. Given a number of input parameters, our model has two distinct capabilities. First, it determines the optimal number of primary controllers to place at specific locations or nodes under normal operating conditions. Second, it recommends an optimal number of smart backup controllers for use with different levels of DDoS attacks. The goal of the model is to improve resistance to DDoS attacks while optimizing the overall cost based on the parameters. Our simulated results demonstrate that the model is useful in planning for SDN reliability in the presence of DDoS attacks while managing the overall cost.
ISSN: 1546-2218
DOI: 10.32604/cmc.2021.016591
Schools: School of Electrical and Electronic Engineering 
Rights: © 2021 Tech Science Press. This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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