On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids

• URL: http://arxiv.org/abs/2412.04902v1
• Date: Fri, 06 Dec 2024 09:59:02 GMT
• Title: On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids
• Authors: Omer Sen, Yanico Aust, Simon Glomb, Andreas Ulbig,
• Abstract summary: This study explores the role of process awareness in enhancing intrusion detection within Smart Grids.<n>The research harnesses a co-simulation environment, encapsulating IT, OT, and ET layers, to model cyberattacks and evaluate machine learning-based IDS strategies.<n>The findings underscore the significance of further developing sophisticated IDS benchmarks and digital twin datasets in Smart Grid environments.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This study delves into the role of process awareness in enhancing intrusion detection within Smart Grids, considering the increasing fusion of ICT in power systems and the associated emerging threats. The research harnesses a co-simulation environment, encapsulating IT, OT, and ET layers, to model multi-stage cyberattacks and evaluate machine learning-based IDS strategies. The key observation is that process-aware IDS demonstrate superior detection capabilities, especially in scenarios closely tied to operational processes, as opposed to IT-only IDS. This improvement is notable in distinguishing complex cyber threats from regular IT activities. The findings underscore the significance of further developing sophisticated IDS benchmarks and digital twin datasets in Smart Grid environments, paving the way for more resilient cybersecurity infrastructures.

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