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  • 标题:Evaluating data utility of privacy-preserving pseudonymized location datasets
  • 本地全文:下载
  • 作者:Tomoya Tanjo1. ; Kazuhiro Minami ; Ken Mano
  • 期刊名称:Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
  • 印刷版ISSN:2093-5374
  • 电子版ISSN:2093-5382
  • 出版年度:2014
  • 卷号:5
  • 期号:3
  • 页码:63-78
  • 出版社:Innovative Information Science & Technology Research Group
  • 摘要:Pseudonymization is an effective way to publish a location dataset with trajectory information in a privacy-preserving way. We previously proposed a technique of randomly exchanging multiple users' pseudonyms at a mix zone where the users meet at the same time to prevent an adversary from reidentifying multiple trajectory segments of a target user. However, such a segmentation technique essentially divides a user's whole trajectory path into multiple segments and thus degrades the utility of the dataset. In this paper, we, therefore, evaluate tradeoffs between data utility and privacy by conducting various experiments with a real location dataset. Our experimental results show that it is possible to achieve sufficient data utility while satisfying realistic privacy requirements
  • 关键词:location privacy; dynamic pseudonym; constraint satisfaction problem
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