Publication:
APS: An Auditable Positioning System Based on Angle-of-Arrival Proof of Location and Graph of Trust

cris.virtual.author-orcid0000-0001-8495-8926
cris.virtual.author-orcid0000-0001-5968-7108
cris.virtualsource.author-orcidf5af978f-e1d8-4ec6-b4fb-175cd928bb37
cris.virtualsource.author-orcid00568fba-6f3b-4354-9e8f-1fb793b19950
cris.virtualsource.author-orcid65f054ad-ee65-4a22-a3be-990293fcb596
datacite.rightsrestricted
dc.contributor.authorSchärer, Jakob
dc.contributor.authorDi Maio, Antonio
dc.contributor.authorBraun, Torsten
dc.date.accessioned2024-10-25T16:59:27Z
dc.date.available2024-10-25T16:59:27Z
dc.date.issued2023-06-21
dc.description.abstractWith the fast growth of the Internet ofThings, location-based services are becoming more important for quality-relevantapplications. Quality-relevant applications often require to be auditable inorder to ensure quality of products and services. However, positioning systemstypically only provide position claims that are not secured and can be forgedor manipulated. This work proposes an auditable positioning system to tacklethis issue. The proposed system performs a proof of location to assert that thetracked asset tag was at the claimed position and immutably stores thisinformation on a distributed ledger. Additionally, an adaptive storage rate wasproposed to save disk storage on the distributed ledgers. A testbed based onBluetooth's Angle of Arrival positioning was implemented for the evaluation ofthe auditable positioning system. The evaluation shows that auditablepositioning is secure, feasible for low-power devices, and that adaptivestorage rates can significantly reduce disk usage and improve scalability.
dc.description.numberOfPages7
dc.description.sponsorshipInstitut für Informatik (INF)
dc.identifier.doi10.48350/185044
dc.identifier.publisherDOI10.1109/PerComWorkshops56833.2023.10150318
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/168924
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeIEEE Xplore
dc.relation.conferenceIEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom 2023 Workshops)
dc.relation.isbn978-1-6654-5381-3
dc.relation.issn2766-8576
dc.relation.organizationDCD5A442BE95E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C2AFE17DE0405C82790C4DE2
dc.subjectPositioning
dc.subjectInternet of Things
dc.subjectSecurity
dc.subjectDistributed Ledger Technology
dc.subject.ddc000 - Computer science, knowledge & systems
dc.subject.ddc500 - Science::510 - Mathematics
dc.titleAPS: An Auditable Positioning System Based on Angle-of-Arrival Proof of Location and Graph of Trust
dc.typeconference_item
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.conferenceDate13-17 March 2023
oaire.citation.conferencePlaceAtlanta, GA, USA
oaire.citation.endPage452
oaire.citation.startPage446
oairecerif.author.affiliationInstitut für Informatik (INF)
oairecerif.author.affiliationInstitut für Informatik (INF)
oairecerif.author.affiliationInstitut für Informatik (INF)
oairecerif.author.affiliation2Institut für Informatik (INF) - Communication & Distributed Systems
oairecerif.identifier.urlhttps://ieeexplore.ieee.org/document/10150318
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.date.licenseChanged2023-07-25 05:11:08
unibe.description.ispublishedpub
unibe.eprints.legacyId185044
unibe.refereedtrue
unibe.subtype.conferencepaper

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