Self-healing by property-guided structural adaptation

Ratasich, Denise; Preindl, Thomas; Selyunin, Konstantin; Grosu, Radu

doi:10.1109/icphys.2018.8387659

Cited by 6 publications

(8 citation statements)

References 17 publications

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“…A very promising way of achieving self-healing is through structural adaptation (SHSA), by replacing a failed component with a substitute component by exploiting implicit redundancy (or functional and temporal redundancy) [200]. We use a knowledge base [171,172] modeling relationships among system variables given that certain implicit redundancy exists in the system and extract a substitute from that knowledge base using guided search (Sec. 7.2).…”

Section: Case Study: Resilient Smart Mobilitymentioning

confidence: 99%

“…Subsequently, the redundant itoms can be used, e.g., to monitor a radar sensor, to substitute a failed radar or to increase the accuracy of a tracking application by sensor fusion. The interested reader is referred to [172] and [171] for more details on the SHSA knowledge base.…”

Section: Shsa Knowledge Basementioning

confidence: 99%

“…The substitute search algorithm traverses the knowledge base ( Fig. 12) from the failed but needed information as root to find a valid substitution [172].…”

Section: Replacementmentioning

confidence: 99%

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A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

et al. 2019

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The Internet of Things (IoT) is a ubiquitous system connecting many different devices -the things -which can be accessed from the distance. The cyber-physical systems (CPS) monitor and control the things from the distance. As a result, the concepts of dependability and security get deeply intertwined. The increasing level of dynamicity, heterogeneity, and complexity adds to the system's vulnerability, and challenges its ability to react to faults. This paper summarizes state-of-the-art of existing work on anomaly detection, fault-tolerance and self-healing, and adds a number of other methods applicable to achieve resilience in an IoT. We particularly focus on non-intrusive methods ensuring data integrity in the network. Furthermore, this paper presents the main challenges in building a resilient IoT for CPS which is crucial in the era of smart CPS with enhanced connectivity (an excellent example of such a system is connected autonomous vehicles). It further summarizes our solutions, work-in-progress and future work to this topic to enable "Trustworthy IoT for CPS". Finally, this framework is illustrated on a selected use case: A smart sensor infrastructure in the transport domain.

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Section: Case Study: Resilient Smart Mobilitymentioning

confidence: 99%

Section: Shsa Knowledge Basementioning

confidence: 99%

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A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

et al. 2019

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“…In [11], Höftberger introduced an ontology (a knowledge base) defining physical relations or semantic equivalences between variables (e.g., laws of physics) to substitute failed observation services. We applied this technique in [14] and we extended the knowledge base with properties and utility theory in [13]. However, this knowledge base has been only exploited for failure recovery, but not yet for fault detection.…”

Section: Related Workmentioning

confidence: 99%

“…We exploit such implicit redundancy by encoding it in a knowledge base [11,13] created by domain experts or learned during runtime. Our previous work [14] shows how to use the redundancy to substitute failed observation components.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Detection Exploiting Redundancy with Uncertainties in Space and Time

Ratasich

Platzer

Grosu

et al. 2019

2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

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The Internet of Things (IoT) connects millions of devices of different cyber-physical systems (CPSs) providing the CPSs additional (implicit) redundancy during runtime. However, the increasing level of dynamicity, heterogeneity, and complexity adds to the system's vulnerability, and challenges its ability to react to faults. Self-healing is an increasingly popular approach for ensuring resilience, that is, a proper monitoring and recovery, in CPSs. This work encodes and searches an adaptive knowledge base in Prolog/ProbLog that models relations among system variables given that certain implicit redundancy exists in the system. We exploit the redundancy represented in our knowledge base to generate adaptive runtime monitors which compares related signals by considering uncertainties in space and time. This enables the comparison of uncertain, asynchronous, multi-rate and delayed measurements. The monitor is used to trigger the recovery process of a self-healing mechanism. We demonstrate our approach by deploying it in a real-world CPS prototype of a rover whose sensors are susceptible to failure.

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A resilient hierarchical distributed model of a cyber physical system

Yadav

2021

Cyber-Physical Systems

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Self-healing by property-guided structural adaptation

Cited by 6 publications

References 17 publications

A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

Adaptive Fault Detection Exploiting Redundancy with Uncertainties in Space and Time

A resilient hierarchical distributed model of a cyber physical system

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