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Practical private data matching deterrent to spoofing attacks

Published: 06 November 2006 Publication History

Abstract

Private data matching between the data sets of two potentially distrusted parties has a wide range of applications. However, existing solutions have substantial weaknesses and do not meet the needs of many practical application scenarios. In particular, practical private data matching applications often require discouraging the matching parties from spoofing their private inputs. In this paper, we address this challenge by forcing the matching parties to "escrow" the data they use for matching to an auditorial agent, and in the "after-the-fact" period, they undertake the liability to attest the genuineness of the escrowed data.

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Cited By

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  • (2014)A survey on trust management for Internet of ThingsJournal of Network and Computer Applications10.1016/j.jnca.2014.01.01442(120-134)Online publication date: Jun-2014
  • (2014)A communication-efficient private matching scheme in Client–Server modelInformation Sciences10.1016/j.ins.2014.01.016275(348-359)Online publication date: Aug-2014
  • (2007)Identity Based Private MatchingThird International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing (SecPerU 2007)10.1109/SECPERU.2007.6(85-90)Online publication date: Jul-2007

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    cover image ACM Conferences
    CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management
    November 2006
    916 pages
    ISBN:1595934332
    DOI:10.1145/1183614
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 November 2006

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    Author Tags

    1. data privacy
    2. secure multi-party computation

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    CIKM06
    CIKM06: Conference on Information and Knowledge Management
    November 6 - 11, 2006
    Virginia, Arlington, USA

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    Cited By

    View all
    • (2014)A survey on trust management for Internet of ThingsJournal of Network and Computer Applications10.1016/j.jnca.2014.01.01442(120-134)Online publication date: Jun-2014
    • (2014)A communication-efficient private matching scheme in Client–Server modelInformation Sciences10.1016/j.ins.2014.01.016275(348-359)Online publication date: Aug-2014
    • (2007)Identity Based Private MatchingThird International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing (SecPerU 2007)10.1109/SECPERU.2007.6(85-90)Online publication date: Jul-2007

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