IncogniSense: An anonymity-preserving reputation framework for participatory sensing applications |
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Authors: | Delphine Christin Christian Roßkopf Matthias Hollick Leonardo A. Martucci Salil S. Kanhere |
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Affiliation: | 1. Secure Mobile Networking Lab, Technische Universität Darmstadt, Germany;2. Department of Computer and Information Science, Linköping University, Sweden;3. School of Computer Science and Engineering, University of New South Wales, Australia |
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Abstract: | 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. |
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Keywords: | Anonymity Reputation Cloaking Participatory sensing |
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