Robust Structural Analysis and Design of Distributed Control Systems to Prevent Zero Dynamics Attacks [electronic resource].
- Published:
- Washington, D.C. : United States. Office of Electricity Delivery & Energy Reliability, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy - Physical Description:
- 6 pages : digital, PDF file
- Additional Creators:
- United States. Office of Electricity Delivery & Energy Reliability and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access:
- Free-to-read Unrestricted online access
- Summary:
- We consider the design and analysis of robust distributed control systems (DCSs) to ensure the detection of integrity attacks. DCSs are often managed by independent agents and are implemented using a diverse set of sensors and controllers. However, the heterogeneous nature of DCSs along with their scale leave such systems vulnerable to adversarial behavior. To mitigate this reality, we provide tools that allow operators to prevent zero dynamics attacks when as many as p agents and sensors are corrupted. Such a design ensures attack detectability in deterministic systems while removing the threat of a class of stealthy attacks in stochastic systems. To achieve this goal, we use graph theory to obtain necessary and sufficient conditions for the presence of zero dynamics attacks in terms of the structural interactions between agents and sensors. We then formulate and solve optimization problems which minimize communication networks while also ensuring a resource limited adversary cannot perform a zero dynamics attacks. Polynomial time algorithms for design and analysis are provided.
- Report Numbers:
- E 1.99:1406346
- Subject(s):
- Note:
- Published through SciTech Connect.
12/12/2017.
56. IEEE Conference on Decision and Control, Melbourne (Australia), 12-15 Dec 2017.
Sean Weerakkody; Xiaofei Liu; Bruno Sinopoli.
Carnie Mellon University - Funding Information:
- OE0000779
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