基于云的openflow防火墙,用于缓解智能电网AMI网络中的DDoS攻击

R. C. Diovu, J. Agee
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引用次数: 29

摘要

高级计量基础设施(AMI)的最新体系结构包含了几个处理计费和其他智能电网控制操作的后端系统。需要时计量数据的不可用性或控制操作所需数据的不及时交付将破坏这些后端系统的活动。不幸的是,人们担心分布式拒绝服务(DDoS)等网络攻击将在智能电网AMI网络中表现出规模和复杂性。这种攻击的范围从延迟最终用户计量数据的可用性到在接地网络的情况下完全拒绝。针对智能电网AMI网络中的DDoS攻击,提出了一种基于云(IaaS)的防火墙。所提出的防火墙不仅能够减轻DDoS攻击的影响,而且能够在攻击发起之前阻止攻击。我们提出的防火墙系统利用了云计算技术,它具有减少智能电网AMI后端系统的数据计算和存储负担的额外优势。由于传统的本地DoS解决方案无法应对针对智能电网AMI网络基础设施的各种新攻击,本研究提出的openflow防火墙是一种更好的安全解决方案。仿真结果表明,该模型能够保证计量/控制数据的可用性,可用于提高DDoS攻击场景下智能电网AMI网络的QoS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cloud-based openflow firewall for mitigation against DDoS attacks in smart grid AMI networks
Recent architectures for the advanced metering infrastructure (AMI) have incorporated several back-end systems that handle billing and other smart grid control operations. The non-availability of metering data when needed or the untimely delivery of data needed for control operations will undermine the activities of these back-end systems. Unfortunately, there are concerns that cyber attacks such as distributed denial of service (DDoS) will manifest in magnitude and complexity in a smart grid AMI network. Such attacks will range from a delay in the availability of end user's metering data to complete denial in the case of a grounded network. This paper proposes a cloud-based (IaaS) firewall for the mitigation of DDoS attacks in a smart grid AMI network. The proposed firewall has the ability of not only mitigating the effects of DDoS attack but can prevent the attack before they are launched. Our proposed firewall system leverages on cloud computing technology which has an added advantage of reducing the burden of data computations and storage for smart grid AMI back-end systems. The openflow firewall proposed in this study is a better security solution with regards to the traditional on-premises DoS solutions which cannot cope with the wide range of new attacks targeting the smart grid AMI network infrastructure. Simulation results generated from the study show that our model can guarantee the availability of metering/control data and could be used to improve the QoS of the smart grid AMI network under a DDoS attack scenario.
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