An Approach for Safety Analysis of Cyber-Physical System Based on Model Transformation

Tuo, Mingfu; Zhou, Xingshe; Yang, Gang; Fang, Ning

doi:10.1109/ithings-greencom-cpscom-smartdata.2016.140

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…All these parts connect and interact with each other under standard Internet Protocols [13]. Furthermore, CPS is a hybrid including both dynamic continuous processes of changes and discrete state transition, featuring the deep integration of computing and physical process and heterogeneous composition [14]. It might also be noted that CPS is beyond software and control domains and integrates both software components and plant components tightly [15].…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

“…What's more, in [16], CPS is a kind of system supplying the integration of physical processes, computation and networks. It can also be viewed as a system with physical subsystems and software bounded together and each of Multi-scale computation, physical components [12] Information system, sensors, mechanical equipments [13] System, dynamic continuous processes, discrete state transition , heterogeneous composition [14] A system transcends software and control domains, software components [15] Physical subsystems, software,time and space interactions [16] Community detection, evolution analysis, link structure prediction [17] Gathering data, pre-processing data, running analyses, post-processing results [18] them interacts with each other in various time and space dimensions [17,18]. So it is apparent to reach the conclusion that it is system composition that distinguishes CPS from diverse data processing paradigms.…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

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Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Zhang

et al. 2020

J Cloud Comp

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Cyber-Physical Systems(CPS) serves as an interdisciplinary effort that incorporates cyber vector as well as physical vector. The latter can generate exponentially growing amounts of data. How to process CPS big data systematically and efficiently is the key to the breakthrough of offering prospective and personalized services for each individual user and entity involved. In recent years, much research has been proactively conducted on advancing specific scenario or algorithm. However, few surveys value their integration. For good measure, the synthesis remains a fundamental challenge. Subsequently, we fill the gap in the literature by constructing cloud computing, fog computing and edge computing as a whole to inspire on new architectures and cross utilizations. Moreover, bringing the enthusiasm of traditionally solitude entities into play is crucial. In this exploratory study, we examine definitions of CPS as well as the three aforementioned computing paradigms and then shed new light on comprehensively established frameworks. We also survey on the application level of Cloud-Fog-Edge Computing in CPS respectively and dive into diversified algorithms and strategies to embed big data applications into a more intelligent and convenient society with current deficiencies and future research directions followed.

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Section: Cyber-physical Systemsmentioning

confidence: 99%

Section: Cyber-physical Systemsmentioning

confidence: 99%

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Zhang

et al. 2020

J Cloud Comp

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“…As WSNs are applied to industrial and critical infrastructures, security in the calculation process is one of the significantly important issues. 2 In distributed networks, the data exchanged between sensor nodes usually contains private information, such as location, income, etc. Once the data is eavesdropped, the participants will be subject to other attacks.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, Wireless Sensor Networks (WSNs) 1 are in widespread use in smart cities, intelligent manufacturing, and other key infrastructures. As WSNs are applied to industrial and critical infrastructures, security in the calculation process is one of the significantly important issues 2 . In distributed networks, the data exchanged between sensor nodes usually contains private information, such as location, income, etc.…”

Section: Introductionmentioning

confidence: 99%

Privacy‐preserving scheme of distributed sensor networks with dynamic code

Chen

Liu

Yang

2023

Internet Technology Letters

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In this letter, we consider the privacy‐preserving strategy of the distributed state estimator over wireless sensor networks. Aiming at an eavesdropper who can intercept the data transmitted on the communication channel, we design a simple preserving scheme to encode the transmitted data by using system dynamics and history estimates. To analyze the privacy‐preserving performance, we use the gap between the values deciphered by the eavesdropper and decoded by the sensor as the privacy index to evaluate the degree of robust privacy protection. Finally, we provide some simulations to illustrate the effectiveness of the proposed preserving schemes.

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Adoption of Blockchain Integrated with Machine Learning in Intelligent Transportation System

Gawas

Parab²

2022

Studies in Big Data

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An Approach for Safety Analysis of Cyber-Physical System Based on Model Transformation

Cited by 9 publications

References 4 publications

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Privacy‐preserving scheme of distributed sensor networks with dynamic code

Adoption of Blockchain Integrated with Machine Learning in Intelligent Transportation System

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