IDEAS home Printed from https://ideas.repec.org/a/igg/jdwm00/v10y2014i4p26-49.html
   My bibliography  Save this article

A New Spatial Transformation Scheme for Preventing Location Data Disclosure in Cloud Computing

Author

Listed:
  • Min Yoon

    (Department of Computer Engineering, Chonbuk National University, Jeonju, South Korea)

  • Hyeong-il Kim

    (Department of Computer Engineering, Chonbuk National University, Jeonju, South Korea)

  • Miyoung Jang

    (Department of Computer Engineering, Chonbuk National University, Jeonju, South Korea)

  • Jae-Woo Chang

    (Department of Computer Engineering,Chonbuk National University,Jeonju, South Korea)

Abstract

Because much interest in spatial database for cloud computing has been attracted, studies on preserving location data privacy have been actively done. However, since the existing spatial transformation schemes are weak to a proximity attack, they cannot preserve the privacy of users who enjoy location-based services in the cloud computing. Therefore, a transformation scheme is required for providing a safe service to users. 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 a 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.

Suggested Citation

  • Min Yoon & Hyeong-il Kim & Miyoung Jang & Jae-Woo Chang, 2014. "A New Spatial Transformation Scheme for Preventing Location Data Disclosure in Cloud Computing," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 10(4), pages 26-49, October.
    • Handle: RePEc:igg:jdwm00:v:10:y:2014:i:4:p:26-49
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijdwm.2014100102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdwm00:v:10:y:2014:i:4:p:26-49. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.