RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Secure Sharing of Partially Homomorphic Encrypted IoT Data
ETH Zurich, Switzerland.
ETH Zurich, Switzerland.
ETH Zurich, Switzerland.
ETH Zurich, Switzerland.
Vise andre og tillknytning
2017 (engelsk)Inngår i: Proceedings of the International Conference on Embedded Networked Sensor Systems (ACM SenSys 2017), November 5-8, 2017, Delft, The Netherlands, 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

IoT applications often utilize the cloud to store and provide ubiquitousaccess to collected data. This naturally facilitates data sharingwith third-party services and other users, but bears privacy risks,due to data breaches or unauthorized trades with user data. Toaddress these concerns, we present Pilatus, a data protection platformwhere the cloud stores only encrypted data, yet is still ableto process certain queries (e.g., range, sum). More importantly,Pilatus features a novel encrypted data sharing scheme based on reencryption,with revocation capabilities and in situ key-update. Oursolution includes a suite of novel techniques that enable efficientpartially homomorphic encryption, decryption, and sharing. Wepresent performance optimizations that render these cryptographictools practical for mobile platforms. We implement a prototypeof Pilatus and evaluate it thoroughly. Our optimizations achieve aperformance gain within one order of magnitude compared to stateof-the-art realizations; mobile devices can decrypt hundreds of datapoints in a few hundred milliseconds. Moreover, we discuss practicalconsiderations through two example mobile applications (Fitbitand Ava) that run Pilatus on real-world data.

sted, utgiver, år, opplag, sider
2017.
Emneord [en]
Secure Sharing, Encrypted Data Processing, Homomorphic Encryption
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-32978OAI: oai:DiVA.org:ri-32978DiVA, id: diva2:1170410
Konferanse
International Conference on Embedded Networked Sensor Systems (ACM SenSys 2017), November 5-8, 2017, Delft, The Netherlands
Tilgjengelig fra: 2018-01-03 Laget: 2018-01-03 Sist oppdatert: 2018-07-06bibliografisk kontrollert

Open Access i DiVA

fulltext(2010 kB)100 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 2010 kBChecksum SHA-512
3d1ed23df6f8341d4bd9c5ddad4e7f3a32c80660fee36eeff6d7b40e82cdb2efa84369de37906409e15c6d07d97fd982b934ab0270cdca73a63d3f8cd5bcc06f
Type fulltextMimetype application/pdf

Søk i DiVA

Av forfatter/redaktør
Duquennoy, Simon
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 100 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 28 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf