Big Data Meet Cyber-Physical Systems: A Panoramic Survey

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dc.contributor.authorAtat, Rachaden
dc.contributor.authorLiu, Lingjiaen
dc.contributor.authorWu, Jinsongen
dc.contributor.authorLi, Guangyuen
dc.contributor.authorYe, Chunxuanen
dc.contributor.authorYi, Yangen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2019-05-14T12:35:03Zen
dc.date.available2019-05-14T12:35:03Zen
dc.date.issued2018en
dc.description.abstractThe world is witnessing an unprecedented growth of cyber-physical systems (CPS), which are foreseen to revolutionize our world via creating new services and applications in a variety of sectors, such as environmental monitoring, mobile-health systems, intelligent transportation systems, and so on. The information and communication technology sector is experiencing a significant growth in data traffic, driven by the widespread usage of smartphones, tablets, and video streaming, along with the significant growth of sensors deployments that are anticipated in the near future. It is expected to outstandingly increase the growth rate of raw sensed data. In this paper, we present the CPS taxonomy via providing a broad overview of data collection, storage, access, processing, and analysis. Compared with other survey papers, this is the first panoramic survey on big data for CPS, where our objective is to provide a panoramic summary of different CPS aspects. Furthermore, CPS requires cybersecurity to protect them against malicious attacks and unauthorized intrusion, which become a challenge with the enormous amount of data that are continuously being generated in the network. Thus, we also provide an overview of the different security solutions proposed for CPS big data storage, access, and analytics. We also discuss big data meeting green challenges in the contexts of CPS.en
dc.description.notesThis work was supported in part by the U.S. National Science Foundation (NSF) under Grants NSF/ECCS-1802710, NSF/ECCS-1811497, and NSF/CNS-1811720, in part by Chile CONICYT under Grant Fondecyt Regular 181809, and in part by the China Hunan Provincial Nature Science Foundation under Grant 2018JJ2535.en
dc.description.sponsorshipU.S. National Science Foundation (NSF) [NSF/ECCS-1802710, NSF/ECCS-1811497, NSF/CNS-1811720]; Chile CONICYT [Fondecyt Regular 181809]; China Hunan Provincial Nature Science Foundation [2018JJ2535]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2018.2878681en
dc.identifier.eissn2169-3536en
dc.identifier.urihttp://hdl.handle.net/10919/89507en
dc.identifier.volume6en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectCyber-physical systems (CPS)en
dc.subjectInternet of Things (IoT)en
dc.subjectcontext-awarenessen
dc.subjectsocial computingen
dc.subjectcloud computingen
dc.subjectbig dataen
dc.subjectclusteringen
dc.subjectdata miningen
dc.subjectdata analyticsen
dc.subjectMachine learningen
dc.subjectreal-time analyticsen
dc.subjectspace-time analyticsen
dc.subjectcybersecurityen
dc.subjectgreenen
dc.subjectenergyen
dc.subjectSustainabilityen
dc.titleBig Data Meet Cyber-Physical Systems: A Panoramic Surveyen
dc.title.serialIEEE Accessen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Scholarly Works, Electrical and Computer Engineering
Destination Area: Integrated Security (IS)