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IncogniSense: An anonymity-preserving reputation framework for participatory sensing applications
Technical University of Darmstadt, Germany .
Technical University of Darmstadt, Germany .
Technical University of Darmstadt, Germany .
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
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2013 (English)In: 2012 IEEE International Conference on Pervasive Computing and Communications (PerCom), Elsevier , 2013, Vol. 9, no 3, 353-371 p.Conference paper, Published paper (Refereed)
Abstract [en]

Reputation systems are fundamental for assessing the quality of user contributions in participatory sensing. However, naively associating reputation scores to contributions allows adversaries to establish links between multiple contributions and thus de-anonymize users. We present the IncogniSense framework as a panacea to these privacy threats. IncogniSense utilizes periodic pseudonyms generated using blind signature and relies on reputation transfer between these pseudonyms. Simulations are used to analyze various reputation cloaking schemes that address the inherent trade-off between anonymity protection and loss in reputation. Our threat analysis confirms the robustness of IncogniSense and a prototype demonstrates that associated overheads are minimal.

Place, publisher, year, edition, pages
Elsevier , 2013. Vol. 9, no 3, 353-371 p.
Series
Pervasive and Mobile Computing, ISSN 1574-1192 ; 9
Keyword [en]
Anonymity, Reputation, Cloaking, Participatory sensing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-95505DOI: 10.1016/j.pmcj.2013.01.003ISI: 000319086100003OAI: oai:DiVA.org:liu-95505DiVA: diva2:635749
Conference
10th IEEE International Conference on Pervasive Computing and Communications (PerCom)
Available from: 2013-07-05 Created: 2013-07-05 Last updated: 2016-08-22

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Martucci, Leonardo

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf