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| Hovedforfatter: | |
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| Format: | Recurso digital |
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| Udgivet: |
Zenodo
2025
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| Online adgang: | https://doi.org/10.5281/zenodo.15379982 |
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Indholdsfortegnelse:
- <p dir="auto">This dataset was created for cybersecurity testing of a SCADA anomaly detection system. It originates from the Aventa AV-7 wind turbine dataset (originally 39,715,978 records, cleaned to 35,470,486 records). A random sample of 1,000,000 records was augmented with 30,000 simulated attack records: 10,000 injection attacks with varied unrealistic telemetry values (e.g., GeneratorTemperature 85°C to 200°C, PowerOutput 5 kW to 20 kW for WindSpeed 0.5 to 2 m/s), 10,000 replay attacks with rapid timestamps (time_diff < 3s), and 10,000 DDoS attacks across five 1-minute windows with delays (time_diff > 15s). Includes attack_type (0 for normal, 1 for injection, 2 for replay, 3 for DDoS) and ground_truth columns<br><br>This dataset: DOI 10.5281/zenodo.15379982</p> <p dir="auto"> </p> <p dir="auto">Origional Dataset: </p> <p><span><span>1.<span> </span></span></span><span>Barber, S., Hammer, F., & Hilfiker, L. (2023). Aventa AV-7 (6kW) IET-OST research wind turbine SCADA [Data set]. Zenodo.</span></p>