Positioning Information Privacy in Intelligent Transportation Systems: an Overview and Future Perspective

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dc.contributor.authorOmetov, Aleksandrcs
dc.contributor.authorBezzateev, Sergeycs
dc.contributor.authorDavydov, Vadimcs
dc.contributor.authorShchesniak, Annacs
dc.contributor.authorMašek, Pavelcs
dc.contributor.authorLohan, Elena Simonacs
dc.contributor.authorKoucheryavy, Yevgenics
dc.coverage.issue7cs
dc.coverage.volume19cs
dc.date.accessioned2020-08-04T11:00:59Z
dc.date.available2020-08-04T11:00:59Z
dc.date.issued2019-03-26cs
dc.description.abstractToday, one of the most promising markets in the world is related to vehicular niche. At the same time, one of the challenges for enabling autonomous cars in the Intelligent Transportation Systems (ITS) is the positioning and tracking of the vehicle. Worldwide integration of ITS employing Dedicated Short Range Communications (DSRC) and European standard for vehicular communication, known as ETSI ITS-G5, brings a variety of options to improve the positioning in areas where GPS connectivity is lacking precision. Utilization of the ready infrastructure, next-generation cellular 5G networks, and surrounding electronic devices together with conventional positioning techniques could become the solution to improve the overall ITS operation in vehicle-to-everything (V2X) communication scenario. Nonetheless, effective and secure communication protocols between the vehicle and roadside units should be both analyzed and improved in terms of potential attacks on the transmitted positioning-related data. In particular, said information may be misused or stolen at the infrastructure side conventionally assumed to be trusted. In this paper, we first survey different methods of vehicle positioning. Next, we propose a potential improvements allowing mutual authentication between the vehicle and infrastructure aiming at improving positioning data privacy. Finally, we propose a vision on the development of such systems.en
dc.formattextcs
dc.format.extent1-23cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSENSORS. 2019, vol. 19, issue 7, p. 1-23.en
dc.identifier.doi10.3390/s19071603cs
dc.identifier.issn1424-8220cs
dc.identifier.other156376cs
dc.identifier.urihttp://hdl.handle.net/11012/180470
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofSENSORScs
dc.relation.urihttps://www.mdpi.com/1424-8220/19/7/1603cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1424-8220/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectInteligentní dopravní systémy
dc.subjectPoloha
dc.subjectSoukromí
dc.subjectAutentizace
dc.subjectGDPR
dc.subjectIntelligent Transportation Systemsen
dc.subjectPositioningen
dc.subjectData privacyen
dc.subjectAuthenticationen
dc.subjectGPDRen
dc.titlePositioning Information Privacy in Intelligent Transportation Systems: an Overview and Future Perspectiveen
dc.title.alternativeOchrana informací o poloze v inteligentních dopravních systémech: současný stav a předpokládaný vývojcs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-156376en
sync.item.dbtypeVAVen
sync.item.insts2020.08.04 13:00:59en
sync.item.modts2020.08.04 12:44:43en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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