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Secure Control Systems A Quantitative Risk Management Approach

Teixeira, André and Sou, Kin Cheong and Sandberg, Henrik and Johansson, Karl Henrik (2015) Secure Control Systems A Quantitative Risk Management Approach. IEEE Control Systems Magazine, 35 (1). pp. 24-45. ISSN 0272-1708. https://resolver.caltech.edu/CaltechAUTHORS:20150219-144010372

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Abstract

Critical infrastructures must continuously operate safely and reliably, despite a variety of potential system disturbances. Given their strict operating requirements, such systems are automated and controlled in real time by several digital controllers receiving measurements from sensors and transmitting control signals to actuators. Since these physical systems are often spatially distributed, there is a need for information technology (IT) infrastructures enabling the timely data flow between the system components. These networked control systems are ubiquitous in modern societies [1]. Examples include the electric power network, intelligent transport systems, and industrial processes.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/MCS.2014.2364709DOIArticle
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7011201PublisherArticle
Additional Information:© 2015 IEEE. Date of publication: 19 January 2015. The research leading to these results received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement 608224, the Swedish Research Council under grants 2009-4565 and 2013-5523, and the Knut and Alice Wallenberg Foundation.
Funders:
Funding AgencyGrant Number
European Community Seventh Framework Programme FP7/2007-2013608224
Swedish Research Council2009-4565
Swedish Research Council2013-5523
Knut and Alice Wallenberg FoundationUNSPECIFIED
Issue or Number:1
Record Number:CaltechAUTHORS:20150219-144010372
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150219-144010372
Official Citation:Teixeira, A.; Kin Cheong Sou; Sandberg, H.; Johansson, K.H., "Secure Control Systems: A Quantitative Risk Management Approach," Control Systems, IEEE , vol.35, no.1, pp.24,45, Feb. 2015 doi: 10.1109/MCS.2014.2364709
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:55028
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:20 Feb 2015 04:12
Last Modified:03 Oct 2019 08:02

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