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文章基本信息

  • 标题:Improving the Performance of kNN Queries with Location Privacy
  • 本地全文:下载
  • 作者:Raed Al-Dhubhani ; Jonathan Cazalas
  • 期刊名称:International Journal of Computer and Information Technology
  • 印刷版ISSN:2279-0764
  • 出版年度:2015
  • 卷号:4
  • 期号:4
  • 页码:645
  • 出版社:International Journal of Computer and Information Technology
  • 摘要:With the big growth in the number of mobile devices worldwide, providing services to the mobile users represents a big market. Location Based Services (LBSs) provides the mobile user with valuable and rich information about his surrounding based on his location, which is very helpful in the activities of his daily life. Using these valuable services introduces the threat of the unauthorized access to the user location data. Location privacy is an important issue in mobile computing field, where revealing the accurate location of the LBS user is not only revealing his longitude and latitude values, but it goes beyond that to be used to analyze these values to infer sensitive information about his life style activities. In this paper, we are aiming to improve the efficiency of the location privacy technique which is based on the Paillier public-key cryptosystem. The objective is to improve the performance by reducing the communication cost. Experiments have shown that the communication cost is reduced up to 39.4 %
  • 关键词:k Nearest Neighbor (kNN); Location Based Services ; (LBS); Location privacy; Mobile Computing
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