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  • 标题:Privacy preserving method based on Voronoi diagram in mobile crowd computing
  • 本地全文:下载
  • 作者:Hao Long ; Shukui Zhang ; Jin Wang
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2017
  • 卷号:13
  • 期号:10
  • 页码:1
  • DOI:10.1177/1550147717739156
  • 出版社:Hindawi Publishing Corporation
  • 摘要:With the development of mobile smartphones equipped with a large number of sensor devices, mobile crowd computing has become the hotspot of current research. In the application, the publishers use the application platform to release the task and then select the appropriate users to participate in the task by bidding and collect their data, in which the users’ identity, location, and other private information face the risk of disclosure. To solve the problem of privacy disclosure in mobile crowd computing, we propose a privacy preserving method based on Voronoi Polygon (PP - Voronoi). The users construct the Voronoi diagram to form a cloaked region hiding users identity and then calculate the anchor point of the cloaked region, by which the users communicate with the task publisher to achieve privacy protection of the cloaked region and K anonymity. The experimental results show that compared with other privacy preserving methods, PP-Voronoi method has better effectiveness of privacy protection and lower network traffic.
  • 关键词:Mobile crowd computing; privacy preserving; Voronoi diagram; cloaked region; anonymity
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