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A Four-Layer Cyber-Physical Security Model for Electric Machine Drives Considering Control Information Flow

Journal Article · · IEEE Journal of Emerging and Selected Topics in Power Electronics
 [1];  [2];  [2]
  1. National Renewable Energy Lab., Golden, CO (United States)
  2. University of Georgia
Despite the IEEE Power Electronics Society (PELS) establishing Technical Committee 10 on Design Methodologies with a focus on the cyber-physical security of power electronics systems, a holistic design methodology for addressing security vulnerabilities remains underdeveloped. This gap largely stems from the limited integration of computer science and power/control engineering studies in this interdisciplinary field. Addressing the inadequacy of unilateral cyber or control perspectives, this article presents a novel four-layer cyber-physical security model specifically designed for electric machine drives. Central to this model is the innovative control information flow (CIF) model, residing within the control layer, which serves as a pivotal link between the cyber layer's vulnerable resources and the physical layer's state-space models. By mapping vulnerable resources to control variable space and tracing attack propagation, the CIF model facilitates accurate impact predictions based on tainted control laws. The effectiveness and validity of this proposed model are demonstrated through hardware experiments involving two typical cyber-attack scenarios, underscoring its potential as a comprehensive framework for multidisciplinary security strategies.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
National Science Foundation (NSF)
DOE Contract Number:
AC36-08GO28308
OSTI ID:
2587052
Report Number(s):
NREL/JA-5D00-96765
Journal Information:
IEEE Journal of Emerging and Selected Topics in Power Electronics, Journal Name: IEEE Journal of Emerging and Selected Topics in Power Electronics Journal Issue: 6 Vol. 12
Country of Publication:
United States
Language:
English

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