Latency-aware segmentation and trust system placement in smart grid SCADA networks

M. Hasan, H. Mouftah
{"title":"Latency-aware segmentation and trust system placement in smart grid SCADA networks","authors":"M. Hasan, H. Mouftah","doi":"10.1109/CAMAD.2016.7790327","DOIUrl":null,"url":null,"abstract":"This paper proposes a latency-aware trust system placement scheme for smart grid SCADA networks. Trust systems are specialized security devices that are deployed to provide cyber protection to supervisory control and data acquisition (SCADA) systems. Their functionalities include firewalling and intrusion detection. They are capable of monitoring both types of traffic, ingress and egress. Only a selected number of nodes are equipped with trust systems due to budgetary constraints. Those nodes are known as the trust nodes. As trust nodes are responsible for distributing time critical messages, it is important to consider the impact of latency in the selection of trust nodes. Network segmentation is a commonly used way of trust node computations. This paper proposes a latency-aware segmentation approach that exploits the graph theoretic properties of minimum spanning trees (MSTs). Numerical results are obtained through case studies for the IEEE BUS 118 test system topology. The results reveal that the proposed scheme is capable of reducing the impact of latency.","PeriodicalId":207184,"journal":{"name":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAD.2016.7790327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

This paper proposes a latency-aware trust system placement scheme for smart grid SCADA networks. Trust systems are specialized security devices that are deployed to provide cyber protection to supervisory control and data acquisition (SCADA) systems. Their functionalities include firewalling and intrusion detection. They are capable of monitoring both types of traffic, ingress and egress. Only a selected number of nodes are equipped with trust systems due to budgetary constraints. Those nodes are known as the trust nodes. As trust nodes are responsible for distributing time critical messages, it is important to consider the impact of latency in the selection of trust nodes. Network segmentation is a commonly used way of trust node computations. This paper proposes a latency-aware segmentation approach that exploits the graph theoretic properties of minimum spanning trees (MSTs). Numerical results are obtained through case studies for the IEEE BUS 118 test system topology. The results reveal that the proposed scheme is capable of reducing the impact of latency.
智能电网SCADA网络中的延迟感知分段和信任系统布局
提出了一种基于延迟感知的智能电网SCADA网络信任系统配置方案。信任系统是为监控和数据采集(SCADA)系统提供网络保护而部署的专用安全设备。它们的功能包括防火墙和入侵检测。它们能够监控两种类型的流量,入口和出口。由于预算限制,只有选定数量的节点配备了信任系统。这些节点被称为信任节点。由于信任节点负责分发时间关键消息,因此在选择信任节点时考虑延迟的影响非常重要。网络分段是一种常用的信任节点计算方法。本文提出了一种利用最小生成树(MSTs)图论特性的延迟感知分割方法。通过对IEEE BUS 118测试系统拓扑的实例分析,得到了数值结果。结果表明,所提出的方案能够降低延迟的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信