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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
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2013 (English)In: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 9, no 3, p. 353-371Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Elsevier, 2013. Vol. 9, no 3, p. 353-371
Keywords [en]
anonymity, reputation, cloaking, participatory sensing
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-27770DOI: 10.1016/j.pmcj.2013.01.003ISI: 000319086100003OAI: oai:DiVA.org:kau-27770DiVA, id: diva2:627834
Available from: 2013-06-12 Created: 2013-06-12 Last updated: 2018-01-11Bibliographically approved

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