A Novel DDoS Attack-aware Smart Backup Controller Placement in SDN Design

Q2 Computer Science
Muhammad Reazul Haque, S. C. Tan, Z. Yusoff, K. Nisar, C. K. Lee, R. Kaspin, B. S. Chowdhry, S. Ali, Shuaib K. Memon
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引用次数: 7

Abstract

Security issues like Distributed Denial of Service (DDoS) attacks are becoming the main threat for Software-Defined Networking (SDN). Controller placement is a fundamental factor in the design and planning of SDN infrastructure. The controller could be seen as a single dot of failure for the whole SDN and it's the alluring point for DDoS attack. Single controller placement implies a single point of SDN control. So, there is a very high chance to fail the entire network topology as the controller associated with all switches. As a result, legitimate clients won't have the capacity to use SDN services. This is the reason why the controller is the suitable center dot of attack for the aggressor. To protect SDN from this type of single purpose of failure, it is essential to place multiple smart backup controllers to guarantee the SDN operation. In this paper, we propose a novel Integer Linear Programming (ILP) model to optimize the security issue by placing powerful smart backup controller. Result obtained from the simulation shows that our proposed novel ILP model can suggest single or multiple smart backup controller placement to support several ordinary victim controllers which has the capacity to save the cost of multiple ordinary controllers by sharing link, maximum new flows per second of controller and port, etc.
SDN设计中一种新的DDoS攻击感知智能备份控制器布局
分布式拒绝服务(DDoS)攻击等安全问题正成为软件定义网络(SDN)的主要威胁。控制器布局是SDN基础设施设计和规划的一个基本因素。控制器可以被视为整个SDN的一个故障点,这是DDoS攻击的诱惑点。单控制器布局意味着SDN控制的单点。因此,作为与所有交换机相关联的控制器,整个网络拓扑发生故障的可能性非常高。因此,合法客户端将无法使用SDN服务。这就是为什么控制器是侵略者合适的攻击中心点的原因。为了保护SDN免受这种单一目的故障的影响,必须放置多个智能备份控制器来保证SDN的运行。在本文中,我们提出了一种新的整数线性规划(ILP)模型,通过放置强大的智能备份控制器来优化安全问题。仿真结果表明,我们提出的新ILP模型可以建议放置单个或多个智能备份控制器来支持几个普通的受害控制器,该模型通过共享链路、控制器和端口的每秒最大新流量等方式来节省多个普通控制器的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of Emerging Technologies in Computing
Annals of Emerging Technologies in Computing Computer Science-Computer Science (all)
CiteScore
3.50
自引率
0.00%
发文量
26
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