Resilient monitoring system: Design and performance analysis

García, Humberto E.; Jhamaria, Naman; Kuang, Heng; Lin, Wen-Chiao; Meerkov, Semyon M.

doi:10.1109/isrcs.2011.6016090

Cited by 15 publications

(21 citation statements)

References 9 publications

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“…Finally, we mention that, although the resilient monitoring structure in this work shares that developed in [2], the design approaches are different. In particular, the monitoring system designed here aims at selecting sensors to make plant health assessments within desired time periods despite cyber attacks, while that in [2] focuses on selecting sensor configurations to maximize plant health assessment confidence.…”

Section: B Brief Review Of Relevant Literature On Resilient Systemsmentioning

confidence: 99%

“…In particular, the monitoring system designed here aims at selecting sensors to make plant health assessments within desired time periods despite cyber attacks, while that in [2] focuses on selecting sensor configurations to maximize plant health assessment confidence. Moreover, some advantages are also afforded by the approach considered here, such as faster computations of the monitored plant assessments.…”

Section: B Brief Review Of Relevant Literature On Resilient Systemsmentioning

confidence: 99%

“…Suppose the DQ of sensor S i is D i and that S i observes σ ∈ Σ, where Σ is the set of states of V (e.g., Low (L), Normal (N ), or High (H)). The notion of believability of a sensor is employed to interpret this observation in the form of PMF for V [2]. Formally, believability is defined as follows:…”

Section: Monitored Plant and Sensorsmentioning

confidence: 99%

“…A monitoring system with the above properties should exhibit the behavior of resilient systems described in [1], [2]. This paper develops a monitoring system that satisfies these properties, being able to dynamically adapt based on assessed conditions not only of the monitored facility but also of its information infrastructure due to natural or malicious physical and cyber attacks.…”

Section: Introduction a Motivationmentioning

confidence: 99%

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A resilient condition assessment monitoring system

García

Lin

Meerkov

2012

2012 5th International Symposium on Resilient Control Systems

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Abstract-An architecture and supporting methods are presented for the implementation of a resilient condition assessment monitoring system that can adaptively accommodate both cyber and physical anomalies to a monitored system under observation. In particular, the architecture includes three layers: information, assessment, and sensor selection. The information layer estimates probability distributions of process variables based on sensor measurements and assessments of the quality of sensor data. Based on these estimates, the assessment layer then employs probabilistic reasoning methods to assess the plant health. The sensor selection layer selects sensors so that assessments of the plant condition can be made within desired time periods. Resilient features of the developed system are then illustrated by simulations of a simplified power plant model, where a large portion of the sensors are under attack.Index Terms-Resilient systems, resilient monitoring, cyberphysical attacks, cyber/physical condition assessments, rational controllers, graceful degradation, measure of resiliency. I. INTRODUCTION A. MotivationComplex engineering systems need to be reliably monitored in order to ensure safety and proper operations. To this end, sensors are typically deployed within the monitored facility in order to observe the behavior of key process variables and access system conditions. Monitoring challenges include efficient processing of information and correct assessment of facility health despite possible natural or malicious disturbances. While natural disturbances can often be characterized reasonably well, malicious disturbances are illcharacterized. Regarding the latter, a significantly damaging disturbance to design against is the cyber-physical coordinated attack. In a cyber-physical coordinated attack, an attacker may cause a physical damage to the monitored facility and, furthermore, coordinately compromise the information layer via a cyber attack (e.g., by causing sensors to provide false readings of process variables) so as to confuse the operator of the actual plant health conditions. As intended by the attacker, a potential result may be that the operator, due to this confusion, takes a wrong decision, such as shutting down the monitored process or switching the plant to an inappropriate operating mode, while he/she otherwise could have gracefully maintained operations amid in a degraded mode, for example. Here, coordinated means that attacks occur at different locations of the monitoring system, while cyber-physical means that there are not only physical but also cyber attacks. A resilient monitoring system, which meets the above challenges, should possess the following properties:• exhibit graceful degradation in performance, as opposed to sudden collapse, under severe disturbances;

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Section: B Brief Review Of Relevant Literature On Resilient Systemsmentioning

confidence: 99%

Section: B Brief Review Of Relevant Literature On Resilient Systemsmentioning

confidence: 99%

Section: Monitored Plant and Sensorsmentioning

confidence: 99%

Section: Introduction a Motivationmentioning

confidence: 99%

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A resilient condition assessment monitoring system

García

Lin

Meerkov

2012

2012 5th International Symposium on Resilient Control Systems

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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 plant monitoring systems: Techniques, analysis, design, and performance evaluation

García

Meerkov

Ravichandran

2015

Journal of Process Control

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a b s t r a c tResilient monitoring systems (RMS) are sensor networks that degrade gracefully under malicious attacks on their sensors, causing them to project misleading information. This paper develops techniques to ensure resiliency, namely: active data quality acquisition, process variable and plant condition assessments, sensor network adaptation, and plant decomposition with knowledge fusion. Based on these techniques, we design a RMS for power plants and investigate its performance under various cyberphysical attacks. In all scenarios considered, the system offers effective protection against misleading information and identifies the plant condition -normal or anomalous -in a reliable and timely manner.

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Resilient monitoring system: Design and performance analysis

Cited by 15 publications

References 9 publications

A resilient condition assessment monitoring system

A resilient condition assessment monitoring system

A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks

Resilient plant monitoring systems: Techniques, analysis, design, and performance evaluation

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