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Risk-averse controller design against data injection attacks on actuators for uncertain control systems
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Signals and Systems.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0001-5491-4068
2022 (English)In: 2022 AMERICAN CONTROL CONFERENCE (ACC), IEEE, 2022, p. 5037-5042Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we consider the optimal controller design problem against data injection attacks on actuators for an uncertain control system. We consider attacks that aim at maximizing the attack impact while remaining stealthy in the finite horizon. To this end, we use the Conditional Value-at-Risk to characterize the risk associated with the impact of attacks. The worst-case attack impact is characterized using the recently proposed output-to-output l(2)-gain (OOG). We formulate the design problem and observe that it is non-convex and hard to solve. Using the framework of scenariobased optimization and a convex proxy for the OOG, we propose a convex optimization problem that approximately solves the design problem with probabilistic certificates. Finally, we illustrate the results through a numerical example.

Place, publisher, year, edition, pages
IEEE, 2022. p. 5037-5042
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-488231DOI: 10.23919/ACC53348.2022.9867257ISI: 000865458704099ISBN: 978-1-6654-5196-3 (electronic)OAI: oai:DiVA.org:uu-488231DiVA, id: diva2:1710655
Conference
American Control Conference (ACC), JUN 08-10, 2022, Atlanta, GA
Funder
Swedish Research Council, 2018-04396Swedish Foundation for Strategic ResearchAvailable from: 2022-11-14 Created: 2022-11-14 Last updated: 2024-04-07Bibliographically approved
In thesis
1. Risk-Based Analysis and Design of Secure Control Systems
Open this publication in new window or tab >>Risk-Based Analysis and Design of Secure Control Systems
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Networked Control Systems (NCSs) are integral to many critical infrastructures such as power grids, transportation, and production systems. The resilient operation of such NCS against cyber-attacks is essential for society, and risk management presents an effective framework for addressing these security challenges. The risk management framework encompasses two steps: risk assessment and risk mitigation. The risk assessment step aims to quantify the risk, whereas the risk mitigation step focuses on designing mitigation strategies. This thesis leverages the risk management framework to analyze and design NCSs that are resilient to cyber-attacks. In particular, this thesis aims to address the following research challenges. 

Firstly, we aim to assess the risk of attack scenarios that are realistic (risk assessment step). In particular, we consider adversaries and operators with different levels of knowledge about the NCS. For instance, an adversary or operator may possess complete knowledge of the system dynamics or have only partial knowledge with varying degrees of uncertainty. Hence, we describe a systematic approach to assess the risk considering the interplay between the knowledge levels of adversaries and operators.

Secondly, we aim to design the NCS to minimize the risk of attacks (risk mitigation step). We explore three different strategies to minimize the risk: (a) controller/detector design, (b) security measure allocation, and (c) system architecture design. In the first strategy, we design the controller and detector gains to minimize the risk of attacks. Here, risk is characterized by the performance loss caused by stealthy attacks on the NCS. In the second strategy, we consider a distributed NCS where certain distributed devices can be secured from attacks by deploying secure sensors and actuators. Then, we aim to strategically determine the devices to secure and mitigate the risk of attacks effectively. Finally, inspired by digital watermarking, we explore the idea of introducing watermarks in NCS to detect attacks efficiently. Throughout the thesis, we provide various numerical examples to depict the efficacy of risk assessment and risk mitigation algorithms. We also provide numerous discussions and avenues for future research directions.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2024. p. 83
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2391
Keywords
Cyber-Security, Cyber-Attacks, Cyber-Physical Systems, Risk Management, Risk Metrics, Impact Metrics, Networked Control Systems, Privacy, Controller Design, Robust Control
National Category
Control Engineering
Research subject
Electrical Engineering with specialization in Automatic Control
Identifiers
urn:nbn:se:uu:diva-525726 (URN)978-91-513-2101-1 (ISBN)
Public defence
2024-05-30, Häggsalen, Ångströmslaboratoriet, Lägerhyddsvägen 1, Uppsala, 09:00 (English)
Opponent
Supervisors
Funder
Swedish Foundation for Strategic ResearchSwedish Research Council, 2018-04396
Available from: 2024-05-02 Created: 2024-04-07 Last updated: 2024-05-02

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Coimbatore Anand, SribalajiTeixeira, André M. H.

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