Privacy-Preserving Sharing of Mobile Sensor Data

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dc.contributor.authorLiu, Yinen
dc.contributor.authorCruz, Breno Dantasen
dc.contributor.authorTilevich, Elien
dc.date.accessioned2023-01-23T13:33:05Zen
dc.date.available2023-01-23T13:33:05Zen
dc.date.issued2022-01-01en
dc.date.updated2023-01-20T21:37:19Zen
dc.description.abstractTo personalize modern mobile services (e.g., advertisement, navigation, healthcare) for individual users, mobile apps continuously collect and analyze sensor data. By sharing their sensor data collections, app providers can improve the quality of mobile services. However, the data privacy of both app providers and users must be protected against data leakage attacks. To address this problem, we present differentially privatized on-device sharing of sensor data, a framework through which app providers can safely collaborate with each other to personalize their mobile services. As a trusted intermediary, the framework aggregates the sensor data contributed by individual apps, accepting statistical queries against the combined datasets. A novel adaptive privacy-preserving scheme: 1) balances utility and privacy by computing and adding the required amount of noise to the query results; 2) incentivizes app providers to keep contributing data; 3) secures all data processing by integrating a Trusted Execution Environment. Our evaluation demonstrates the framework’s efficiency, utility, and safety: all queries complete in <10 ms; the data sharing collaborations satisfy participants’ dissimilar privacy/utility requirements; mobile services are effectively personalized, while preserving the data privacy of both app providers and users.en
dc.description.versionAccepted versionen
dc.format.extentPages 19-41en
dc.format.extent23 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/978-3-030-99203-3_2en
dc.identifier.eissn1867-822Xen
dc.identifier.isbn978-3-030-99202-6en
dc.identifier.issn1867-8211en
dc.identifier.orcidTilevich, Eli [0000-0003-2415-6926]en
dc.identifier.urihttp://hdl.handle.net/10919/113353en
dc.identifier.volume434en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000790578900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMobile privacyen
dc.titlePrivacy-Preserving Sharing of Mobile Sensor Dataen
dc.title.serialMobile Computing, Applications, and Services, MOBICASE 2021en
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherProceedings Paperen
dc.type.otherMeetingen
dc.type.otherBook in seriesen
pubs.finish-date2021-11-14en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Computer Scienceen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.start-date2021-11-13en

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