SCADA World: An Exploration of the Diversity in Power Grid Networks

Neil Ortiz, Alvaro A. Cardenas, Avishai Wool

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Despite a growing interest in understanding the industrial control networks that monitor and control our critical infrastructures (such as the power grid), to date, SCADA networks have been analyzed in isolation from each other. They have been treated as monolithic networks without taking into consideration their differences. In this paper, we analyze real-world data from different parts of a power grid (generation, transmission, distribution, and end-consumer) and show that these industrial networks exhibit a variety of unique behaviors and configurations that have not been documented before. To the best of our knowledge, our study is the first to tackle the analysis of power grid networks at this level. Our results help us dispel several misconceptions proposed by previous work, and we also provide new insights into the differences and types of SCADA networks.

Original languageEnglish
Title of host publicationSIGMETRICS/PERFORMANCE 2024 - Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
PublisherAssociation for Computing Machinery, Inc
Pages13-14
Number of pages2
ISBN (Electronic)9798400706240
DOIs
StatePublished - 10 Jun 2024
Event2024 ACM SIGMETRICS/IFIP Performance Conference on Measurement and Modeling of Computer Systems, SIGMETRICS/PERFORMANCE 2024 - Venice, Italy
Duration: 10 Jun 202414 Jun 2024

Publication series

NameSIGMETRICS/PERFORMANCE 2024 - Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems

Conference

Conference2024 ACM SIGMETRICS/IFIP Performance Conference on Measurement and Modeling of Computer Systems, SIGMETRICS/PERFORMANCE 2024
Country/TerritoryItaly
CityVenice
Period10/06/2414/06/24

Funding

FundersFunder number
NSF-CNS1931573, 1929410

    Keywords

    • goose
    • iccp
    • iec 60870-5-104
    • ieee c37.118
    • modbus/tcp
    • scada traffic

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