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An Enhanced Data Utility Framework for Privacy-Preserving Location Data Collection

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(6), pp.69-76
  • DOI : 10.9708/jksci.2024.29.06.069
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 2, 2024
  • Accepted : May 29, 2024
  • Published : June 28, 2024

Jong Wook Kim 1

1상명대학교

Accredited

ABSTRACT

Recent advances in sensor and mobile technologies have made it possible to collect user location data. This location information is used as a valuable asset in various industries, resulting in increased demand for location data collection and sharing. However, because location data contains sensitive user information, indiscriminate collection can lead to privacy issues. Recently, geo-indistinguishability (Geo-I), a method of differential privacy, has been widely used to protect the privacy of location data. While Geo-I is powerful in effectively protecting users' locations, it poses a problem because the utility of the collected location data decreases due to data perturbation. Therefore, this paper proposes a method using Geo-I technology to effectively collect user location data while maintaining its data utility. The proposed method utilizes the prior distribution of users to improve the overall data utility, while protecting accurate location information. Experimental results using real data show that the proposed method significantly improves the usefulness of the collected data compared to existing methods.

Citation status

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