Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems
Suman Rath, Ioannis Zografopoulos, Pedro P. Vergara, Vassilis C., Nikolaidis, Charalambos Konstantinou

TL;DR
This paper explores how process-level rootkits in microgrid control systems can stealthily compromise operations by deploying system-specific models and orchestrating impactful attacks, highlighting new vulnerabilities in cyber-physical energy systems.
Contribution
It introduces a detailed analysis of process-aware rootkits in microgrids, including their deployment, modeling, and attack strategies, revealing novel stealth attack mechanisms.
Findings
Rootkits gather system info to build neural network models.
They use models to orchestrate impactful, undetectable attacks.
Attacks impair system operation and blind detection mechanisms.
Abstract
Embedded controllers, sensors, actuators, advanced metering infrastructure, etc. are cornerstone components of cyber-physical energy systems such as microgrids (MGs). Harnessing their monitoring and control functionalities, sophisticated schemes enhancing MG stability can be deployed. However, the deployment of `smart' assets increases the threat surface. Power systems possess mechanisms capable of detecting abnormal operations. Furthermore, the lack of sophistication in attack strategies can render them detectable since they blindly violate power system semantics. On the other hand, the recent increase of process-aware rootkits that can attain persistence and compromise operations in undetectable ways requires special attention. In this work, we investigate the steps followed by stealthy rootkits at the process level of control systems pre- and post-compromise. We investigate the…
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Taxonomy
TopicsSmart Grid Security and Resilience · Network Security and Intrusion Detection · Software-Defined Networks and 5G
