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Linear function based transformation scheme for preserving database privacy in cloud computing

  • Min Yoon
  • , Hyeong Il Kim
  • , Miyoung Jang
  • , Jae Woo Chang*
  • *Corresponding author for this work
    • Jeonbuk National University

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    Because much interest in spatial database in cloud computing has been attracted, studies on preserving location data privacy in cloud computing have been actively done. However, since the existing spatial transformation schemes are weak to proximity attack, they cannot preserve the privacy of users who enjoy location-based services from the cloud computing. Therefore, a transformation scheme for providing a safe service to users is required. So, we, in this paper, propose a new transformation scheme based on a line symmetric transformation (LST). The proposed scheme performs both LST-based data distribution and error injection transformation for preventing proximity attack effectively. Finally, we show from our performance analysis that the proposed scheme greatly reduces the success rate of the proximity attack while performing the spatial transformation in an efficient way.

    Original languageEnglish
    Title of host publicationProceedings - 2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013
    PublisherIEEE Computer Society
    Pages498-503
    Number of pages6
    ISBN (Print)9781479920815
    DOIs
    StatePublished - 2013
    Event2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013 - Seoul, Korea, Republic of
    Duration: 2013.12.152013.12.18

    Publication series

    NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
    ISSN (Print)1521-9097

    Conference

    Conference2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period13.12.1513.12.18

    Keywords

    • Cloud computing
    • Linear Function
    • Location data protection
    • Spatial transformation scheme

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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