An Approach to Abstract Multi-stage Cyberattack Data Generation for ML-Based IDS in Smart Grids. (arXiv:2312.13737v1 [cs.CR])

Power grids are becoming more digitized, resulting in new opportunities for
the grid operation but also new challenges, such as new threats from the
cyber-domain. To address these challenges, cybersecurity solutions are being
considered in the form of preventive, detective, and reactive measures. Machine
learning-based intrusion detection systems are used as part of detection
efforts to detect and defend against cyberattacks. However, training and
testing data for these systems are often not available or suitable for use in
machine learning …

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