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Risk-based Security Measure Allocation Against Actuator Attacks
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Signals and Systems.ORCID iD: 0000-0002-9948-4118
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, Technology, Department of Electrical Engineering, Signals and Systems. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0001-5491-4068
2023 (English)In: IEEE Open Journal of Control Systems, E-ISSN 2694-085X, p. 1-12Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2023. p. 1-12
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-510331DOI: 10.1109/ojcsys.2023.3305831OAI: oai:DiVA.org:uu-510331DiVA, id: diva2:1792034
Funder
Swedish Research Council, 2018-04396Available from: 2023-08-28 Created: 2023-08-28 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

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