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Publication Detail
Differentially private billing with rebates
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Conference Proceeding
  • Authors:
    Danezis G, Kohlweiss M, Rial A
  • Publication date:
    26/09/2011
  • Pagination:
    148, 162
  • Journal:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    6958 LNCS
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
A number of established and novel business models are based on fine grained billing, including pay-per-view, mobile messaging, voice calls, pay-as-you-drive insurance, smart metering for utility provision, private computing clouds and hosted services. These models apply fine-grained tariffs dependent on time-of-use or place of-use to readings to compute a bill. We extend previously proposed billing protocols to strengthen their privacy in two key ways. First, we study the monetary amount a customer should add to their bill in order to provably hide their activities, within the differential privacy framework. Second, we propose a cryptographic protocol for oblivious billing that ensures any additional expenditure, aimed at protecting privacy, can be tracked and reclaimed in the future, thus minimising its cost. Our proposals can be used together or separately and are backed by provable guarantees of security. © 2011 Springer-Verlag.
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