jwd164/space-cyber-anomaly-detection-dataset
The SCAD dataset provides high-fidelity satellite telemetry under both normal operating conditions and simulated cyber intrusion scenarios. It was generated using a digital satellite twin and includes labeled baseline and attack scenarios. SCAD is intended as a benchmark for developing and evaluating AI/ML-based solutions for space.
This dataset helps aerospace engineers and cybersecurity analysts test and improve systems for detecting cyberattacks on satellites. It provides detailed time-series telemetry from a simulated satellite, showing both normal operations and various cyber intrusion scenarios. The output is labeled data that can be used to train and evaluate AI/ML models to identify anomalies in satellite behavior.
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Use this if you are developing or evaluating AI/ML-based intrusion detection systems specifically for satellite operations and need high-fidelity, labeled data.
Not ideal if you are looking for real-world, in-orbit satellite attack data, as this dataset is generated from a digital twin.
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Oct 14, 2025
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