Privacy-enhanced participatory sensing with collusion resistance and data aggregation

Felix Günther, Mark Manulis, Andreas Peter

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    10 Citations (Scopus)

    Abstract

    Participatory sensing enables new paradigms and markets for information collection based on the ubiquitous availability of smartphones, but also introduces privacy challenges for participating users and their data. In this work, we review existing security models for privacy-preserving participatory sensing and propose several improvements that are both of theoretical and practical significance. We first address an important drawback of prior work, namely the lack of consideration of collusion attacks that are highly relevant for such multi-user settings. We explain why existing security models are insufficient and why previous protocols become insecure in the presence of colluding parties. We remedy this problem by providing new security and privacy definitions that guarantee meaningful forms of collusion resistance. We propose new collusion-resistant participatory sensing protocols satisfying our definitions: a generic construction that uses anonymous identity-based encryption (IBE) and its practical instantiation based on the Boneh-Franklin IBE scheme. We then extend the functionality of participatory sensing by adding the ability to perform aggregation on the data submitted by the users, without sacrificing their privacy. We realize this through an additively-homomorphic IBE scheme which in turn is constructed by slightly modifying the Boneh-Franklin IBE scheme. From a practical point of view, the resulting scheme is suitable for calculations with small sensor readings/values such as temperature measurements, noise levels, or prices, which is sufficient for many applications of participatory sensing.
    Original languageUndefined
    Title of host publication13th International Conference on Cryptology and Network Security (CANS 2014)
    Place of PublicationLondon
    PublisherSpringer
    Pages321-336
    Number of pages16
    ISBN (Print)978-3-319-12279-3
    DOIs
    Publication statusPublished - 2014
    Event13th International Conference on Cryptology and Network Security, CANS 2014 - Heraklion, Crete, Greece
    Duration: 22 Oct 201424 Oct 2014

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume8813

    Conference

    Conference13th International Conference on Cryptology and Network Security, CANS 2014
    Period22/10/1424/10/14
    Other22-24 October 2014

    Keywords

    • participatory sensing
    • Privacy
    • collusion resistance
    • cryptographic models
    • IR-92790
    • additively homomorphic identity-based encryption
    • Data aggregation
    • METIS-309664
    • EWI-25310

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