Resilient control systems: Next generation design research

Rieger, Craig; Gertman, David I.; McQueen, Miles

doi:10.1109/hsi.2009.5091051

Cited by 176 publications

(109 citation statements)

References 2 publications

(1 reference statement)

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“…Some application areas of CPSs include automated factories, smart and energy efficient buildings, the smart grid, and self-driving cars; (Kim and Kumar, 2012;Khaitan and McCalley, 2014) provide additional application areas. As the domain of applicability of CPSs expands into security-sensitive areas, such as automated highways, water and electricity distribution systems, and military command and control, it is critical to develop novel design and control paradigms that go beyond the traditional notions of robustness, reliability, and stability (Rieger et al, 2009). These novel paradigms -or elements of resilience -include cyber-security and privacy [e.g., Liu et al (2012)], control system and information network robustness, and the ability to maintain normalcy and restore function following a failure or a malicious attack.…”

Section: Context and Motivationmentioning

confidence: 99%

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Resilience through Learning in Multi-Agent Cyber-Physical Systems

et al. 2016

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The paper contributes to the design of secure and resilient supervisory Cyber-Physical Systems (CPS) through learning. The reported approach involves the inclusion of learning modules in each of the supervised agents, and considers a scenario where the system's coordinator privately transmits to individual agents their action plans in the form of symbolic strings. Each agent's plans belong in some particular class of (sub-regular) languages, which is identifiable in the limit from positive data. With knowledge of the class of languages their plans belong to, agents can observe their coordinator's instructions and utilize appropriate Grammatical Inference modules to identify the behavior specified for them. From that, they can then work collectively to infer the executive function of their supervisor. The paper proves that in cases where the coordinator fails, or communication to subordinates is disrupted, agents are able not only to maintain functional capacity but also to recover normalcy of operation by reconstructing their coordinator. Guaranteeing normalcy recovery in supervisory CPSs is critical in cases of a catastrophic failure or malicious attack, and is important for the design of next-generation Cyber-Physical Systems.

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Section: Context and Motivationmentioning

confidence: 99%

“…One way to approach this problem (Rieger et al, 2009) is by decomposing it into two broad research thrusts. One of them is State Awareness, which is related to efficient and timely monitoring for the purpose of ensuring normalcy.…”

Section: Context and Motivationmentioning

confidence: 99%

Resilience through Learning in Multi-Agent Cyber-Physical Systems

et al. 2016

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“…While one might say that resilient designs are built upon dependable computing research, these research philosophies do not characterize the aspects of the design that involve the implementation of advanced control theory for feedback control functionality [1]. Dependable computing research considers the malicious faults as a source of failure but does not consider these faults or the associated consequences in terms of impact on the unique design considerations of a control system.…”

Section: Introductionmentioning

confidence: 99%

“…Before discussing the philosophy of resilient control systems, however, one must first consider its definition. A resilient control system is defined as one that maintains state awareness and an accepted level of operational normalcy in response to disturbances, including threats of an unexpected and malicious nature [1]. The notional architecture of such a system is defined in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Notional examples and benchmark aspects of a resilient control system

Rieger

2010

2010 3rd International Symposium on Resilient Control Systems

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-Digital control system technology has pervaded most industries, leading to improvements in the efficiency and reliability of the associated operations. However, the ease of distributing and connecting related control systems for the purposes of increasing performance has resulted in interdependencies that can lead to unexpected conditions. Even with less complex designs, operators and engineers alike are often left with competing goals that are difficult to resolve. A fundamental reason for this dichotomy is that responsibilities lie with different disciplines, and operations are hosted on separate control systems. In addition, with the rising awareness of cyber security and diverse human interactions with control systems, an understanding of human actions from a malicious and benevolent standpoint is necessary. Resilience considers the multiple facets of requirements that drive the performance of control systems in a holistic fashion, whether they are security or stability, stability or efficiency, human interactions or complex interdependencies. As will be shown by example, current research philosophies lack the depth or the focus on the control system application to satisfy these requirements, such as graceful degradation of hierarchical control while under cyber attack. A resilient control system promises to purposefully consider these diverse requirements, developing an adaptive capacity to complex events that can lead to failure of traditional control system designs.

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“…Regarding the vulnerabilities of these networked systems, the cyber-intrusion is of major importance, as malignant actors can mask the system's degradation or provide fake data to higher management levels, with respect to the current system's status [2]. In this work, a resilient system is regarded as a system that maintains state awareness and an acceptable level of operational normalcy in response to disturbances, including threats of an unexpected and malicious nature [3] [4]. In the case of heterogeneous monitoring systems, this resilience provides the system with security and trust mechanism, thus fixing, mitigating or coping with the aforementioned vulnerabilities.…”

Section: Introductionmentioning

confidence: 99%

A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks

Januário

Cardoso

Gil

2014

IFIP Advances in Information and Communication Technology

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Abstract. The growing developments on networked devices, with different communication structures and capabilities made possible the emergence of new architectures for monitoring systems. In the case of heterogeneous distributed environments, where knowledge, processing devices, sensors and actuators are distributed throughout the network, the design of such systems are challenging in terms of integration and, markedly, in security and state-awareness of the overall system. This work proposes a general distributed architecture, with supporting methods, for building a resilient monitoring system that can adaptively accommodate both cyber and physical anomalies. Its implementation relies on multi-agent systems within a distributed middleware.

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Resilient control systems: Next generation design research

Cited by 176 publications

References 2 publications

Resilience through Learning in Multi-Agent Cyber-Physical Systems

Resilience through Learning in Multi-Agent Cyber-Physical Systems

Notional examples and benchmark aspects of a resilient control system

A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks

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