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IncogniSense: An Anonymity-preserving Reputation Frameworkfor Participatory Sensing Applications
Telecooperation Lab, Technische Universit¨at Darmstadt, Darmstadt, Germany.ORCID-id: 0000-0002-9980-3473
Vise andre og tillknytning
2013 (engelsk)Inngår i: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 9, nr 3, s. 353-371Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Reputation systems are fundamental for assessing the quality of user contributions inparticipatory sensing. However, naively associating reputation scores to contributionsallows adversaries to establish links between multiple contributions and thus deanonymizeusers. We present the IncogniSense framework as a panacea to these privacythreats. IncogniSense utilizes periodic pseudonyms generated using blind signatureand relies on reputation transfer between these pseudonyms. Simulations are used toanalyze various reputation cloaking schemes that address the inherent trade-off betweenanonymity protection and loss in reputation. Our threat analysis confirms the robustnessof IncogniSense and a prototype demonstrates that associated overheads are minimal.

sted, utgiver, år, opplag, sider
Elsevier, 2013. Vol. 9, nr 3, s. 353-371
Emneord [en]
anonymity, reputation, cloaking, participatory sensing
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-27770DOI: 10.1016/j.pmcj.2013.01.003ISI: 000319086100003OAI: oai:DiVA.org:kau-27770DiVA, id: diva2:627834
Tilgjengelig fra: 2013-06-12 Laget: 2013-06-12 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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