Detecting DDoS Attack using Software Defined Network (SDN) in Cloud Computing Environment

K. Bhushan, B. Gupta
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引用次数: 31

Abstract

In the last one decade, cloud computing has evolved as a new and promising computational platform that provides cost effective and scalable computing facility. The merger of SDN technology with the cloud computing environment simplifies the cloud’s networking complexities and significantly improves the manageability, programmability, dynamism, and scalability of the cloud. In the SDN-based cloud, the essential features of SDN, including global view of the whole network, software based traffic analysis, centralized control over the network, etc. greatly improves the DDoS attack detection and mitigation capabilities of the cloud. In this paper, we first discuss about various essential features of SDN that makes it suitable networking technology for cloud computing. Moreover, we propose an approach to detect DDoS attacks in SDN-based cloud by utilizing the features of SDN. The proposed approach can detect the DDoS attacks with very low communicational and computational overhead. Our claims are well supported by the extensive simulation based experiments.
云计算环境下基于SDN的DDoS攻击检测
在过去的十年中,云计算已经发展成为一种新的、有前途的计算平台,它提供了具有成本效益和可扩展的计算设施。SDN技术与云计算环境的融合,简化了云的组网复杂性,显著提高了云的可管理性、可编程性、动态性和可扩展性。在基于SDN的云中,SDN的全网全局视图、基于软件的流量分析、对网络的集中控制等本质特性极大地提高了云的DDoS攻击检测和缓解能力。在本文中,我们首先讨论了SDN的各种基本特征,使其适合云计算的网络技术。此外,我们提出了一种利用SDN的特性来检测基于SDN的云中的DDoS攻击的方法。该方法能够以极低的通信和计算开销检测DDoS攻击。我们的观点得到了大量模拟实验的支持。
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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