OpenConduit:一个自动重建电力系统通信网络的工具

A. Umunnakwe, Patrick Wlazlo, A. Sahu, Julian Velasquez, K. Davis, A. Goulart, S. Zonouz
{"title":"OpenConduit:一个自动重建电力系统通信网络的工具","authors":"A. Umunnakwe, Patrick Wlazlo, A. Sahu, Julian Velasquez, K. Davis, A. Goulart, S. Zonouz","doi":"10.1109/SmartGridComm52983.2022.9960996","DOIUrl":null,"url":null,"abstract":"The daily operations of critical infrastructures have long relied upon computer networks. Nevertheless, these networks attract adversarial actions. To improve the security and resilience of electric power systems and other cyber-physical critical infrastructure, there is a crucial need to study their communication networks alongside their physical systems. However, there is a disconnect between network models used by research groups and the actual network topologies used in industry. These modeling differences lead to discrepancies between study results and what is attainable in the field. To address this, OpenConduit is introduced in this paper. OpenConduit is designed to achieve automated and realistic replication of electric power system networks in an emulation environment. OpenConduit interprets industrial networks' configuration data (real or synthetic) and rebuilds the network in the Common Open Research Emulator (CORE). OpenConduit's architecture, design, and integration into a large-scale cyber-physical testbed are the focus of the paper. Experiments with a sample synthetic electric utility network show its ability to efficiently enable detailed emulation studies for real utility networks in a safe environment. Finally, experiments on a range of cases demonstrate the OpenConduit tool to be effective for scalability in the emulation of larger networks, as well as achieving conformity with configuration files and system settings while maintaining functionality. Additionally, the emulation time which averages 59 seconds can be integrated with power systems operations, while upholding information security of system data.","PeriodicalId":252202,"journal":{"name":"2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OpenConduit: A Tool for Recreating Power System Communication Networks Automatically\",\"authors\":\"A. Umunnakwe, Patrick Wlazlo, A. Sahu, Julian Velasquez, K. Davis, A. Goulart, S. Zonouz\",\"doi\":\"10.1109/SmartGridComm52983.2022.9960996\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The daily operations of critical infrastructures have long relied upon computer networks. Nevertheless, these networks attract adversarial actions. To improve the security and resilience of electric power systems and other cyber-physical critical infrastructure, there is a crucial need to study their communication networks alongside their physical systems. However, there is a disconnect between network models used by research groups and the actual network topologies used in industry. These modeling differences lead to discrepancies between study results and what is attainable in the field. To address this, OpenConduit is introduced in this paper. OpenConduit is designed to achieve automated and realistic replication of electric power system networks in an emulation environment. OpenConduit interprets industrial networks' configuration data (real or synthetic) and rebuilds the network in the Common Open Research Emulator (CORE). OpenConduit's architecture, design, and integration into a large-scale cyber-physical testbed are the focus of the paper. Experiments with a sample synthetic electric utility network show its ability to efficiently enable detailed emulation studies for real utility networks in a safe environment. Finally, experiments on a range of cases demonstrate the OpenConduit tool to be effective for scalability in the emulation of larger networks, as well as achieving conformity with configuration files and system settings while maintaining functionality. Additionally, the emulation time which averages 59 seconds can be integrated with power systems operations, while upholding information security of system data.\",\"PeriodicalId\":252202,\"journal\":{\"name\":\"2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SmartGridComm52983.2022.9960996\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartGridComm52983.2022.9960996","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

关键基础设施的日常运作长期依赖于计算机网络。然而,这些网络吸引了敌对行动。为了提高电力系统和其他网络物理关键基础设施的安全性和弹性,迫切需要在研究其物理系统的同时研究其通信网络。然而,研究小组使用的网络模型与工业中使用的实际网络拓扑之间存在脱节。这些建模上的差异导致了研究结果与该领域实际情况之间的差异。为了解决这个问题,本文介绍了OpenConduit。OpenConduit设计用于在仿真环境中实现电力系统网络的自动化和逼真复制。OpenConduit解释工业网络的配置数据(真实的或合成的),并在Common Open Research Emulator (CORE)中重建网络。OpenConduit的架构、设计以及与大型网络物理测试平台的集成是本文的重点。仿真实验表明,该方法能够有效地对安全环境下的实际电网进行详细的仿真研究。最后,在一系列案例上的实验表明,OpenConduit工具对于模拟大型网络中的可伸缩性是有效的,并且在保持功能的同时实现与配置文件和系统设置的一致性。此外,仿真时间平均为59秒,可以与电力系统运行相结合,同时保证系统数据的信息安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
OpenConduit: A Tool for Recreating Power System Communication Networks Automatically
The daily operations of critical infrastructures have long relied upon computer networks. Nevertheless, these networks attract adversarial actions. To improve the security and resilience of electric power systems and other cyber-physical critical infrastructure, there is a crucial need to study their communication networks alongside their physical systems. However, there is a disconnect between network models used by research groups and the actual network topologies used in industry. These modeling differences lead to discrepancies between study results and what is attainable in the field. To address this, OpenConduit is introduced in this paper. OpenConduit is designed to achieve automated and realistic replication of electric power system networks in an emulation environment. OpenConduit interprets industrial networks' configuration data (real or synthetic) and rebuilds the network in the Common Open Research Emulator (CORE). OpenConduit's architecture, design, and integration into a large-scale cyber-physical testbed are the focus of the paper. Experiments with a sample synthetic electric utility network show its ability to efficiently enable detailed emulation studies for real utility networks in a safe environment. Finally, experiments on a range of cases demonstrate the OpenConduit tool to be effective for scalability in the emulation of larger networks, as well as achieving conformity with configuration files and system settings while maintaining functionality. Additionally, the emulation time which averages 59 seconds can be integrated with power systems operations, while upholding information security of system data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Scheduling Electric Vehicle Fleets as a Virtual Battery under Uncertainty using Quantile Forecasts Graph Neural Network Based Prediction of Data Traffic in Cyber-Physical Smart Power Grids A Digital Twin Integrated Cyber-physical Systems for Community Energy Trading Analysis of Message Authentication Solutions for IEC 61850 in Substation Automation Systems Smart Home/Office Energy Management based on Individual Data Analysis through IoT Networks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1