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PowerDuck: A GOOSE Data Set of Cyberattacks in Substations

Authors: Zemanek, Sven; Hacker, Immanuel; Wolsing, Konrad; Wagner, Eric; Henze, Martin; Serror, Martin;

PowerDuck: A GOOSE Data Set of Cyberattacks in Substations

Abstract

A recorded GOOSE data set as described in Sven Zemanek, Immanuel Hacker, Konrad Wolsing, Eric Wagner, Martin Henze, and Martin Serror. 2022. PowerDuck: A GOOSE Data Set of Cyberattacks in Substations. In Cyber Security Experimentation and Test Workshop (CSET ’22), August 8, 2022, Virtual, CA, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3546096.3546102 The data set contains network traces of GOOSE communication recorded in a physical substation testbed. Further, it includes recordings of various scenarios with and without the presence of attacks. All network packets originating from the attacker are clearly labeled as such to facilitate their identification using the Industrial Protocol Abstraction Layer (IPAL) format. We thus envision PowerDuck improving and complementing existing data sets of substations, which are often generated synthetically, and thus aim to enhance the security of power grids.

Related Organizations
Keywords

Cyber-Physical Networks, Denial- of-Service Attacks, Intrusion Detection Systems, Smart Grid, PCAP

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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