Petr Matoušek, Ondřej Ryšavý, Peter Grofčík

The dataset comprises of several files that contain smart grid communication, namely protocols IEC 60870-104 (IEC 104) and IEC 61850 (MMS) in form of CSV traces. The traces were generated from PCAP files using IPFIX flow probe or an extraction script. CSV traces include the timestamp, IP addresses and ports of communicating devices, and selected IEC 104 and MMS headers that are interesting for security monitoring and anomaly detection. Datasets were by obtained partly by monitoring communication of real ICS devices and partly by monitoring communication of virtual ICS applications.

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[1] Petr Matoušek, Ondřej Ryšavý, Peter Grofčík, "ICS Dataset for Smart Grid Anomaly Detection", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/1trw-n685. Accessed: Oct. 05, 2024.
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author = {Petr Matoušek; Ondřej Ryšavý; Peter Grofčík },
publisher = {IEEE Dataport},
title = {ICS Dataset for Smart Grid Anomaly Detection},
year = {2022} }
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T1 - ICS Dataset for Smart Grid Anomaly Detection
AU - Petr Matoušek; Ondřej Ryšavý; Peter Grofčík
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Petr Matoušek, Ondřej Ryšavý, Peter Grofčík. (2022). ICS Dataset for Smart Grid Anomaly Detection. IEEE Dataport. http://dx.doi.org/10.21227/1trw-n685
Petr Matoušek, Ondřej Ryšavý, Peter Grofčík, 2022. ICS Dataset for Smart Grid Anomaly Detection. Available at: http://dx.doi.org/10.21227/1trw-n685.
Petr Matoušek, Ondřej Ryšavý, Peter Grofčík. (2022). "ICS Dataset for Smart Grid Anomaly Detection." Web.
1. Petr Matoušek, Ondřej Ryšavý, Peter Grofčík. ICS Dataset for Smart Grid Anomaly Detection [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/1trw-n685
Petr Matoušek, Ondřej Ryšavý, Peter Grofčík. "ICS Dataset for Smart Grid Anomaly Detection." doi: 10.21227/1trw-n685