A network aware privacy model for online requests in trajectory data

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摘要

In this work, we propose a privacy model for online user requests on trajectory data in location based services by utilizing an underlying network of user movement. The privacy model has been implemented as a framework that (i) reconstructs the user movement from a series of independent location updates, (ii) identifies routes where user privacy is at risk, and (iii) transforms user requests into anonymous equivalents. The framework is implemented on top of a spatial database engine that offers a significant portion of the necessary functionality, while provides for its effective deployment.

论文关键词:Security & privacy,Knowledge discovery,Trajectory K-anonymity,Spatial DBMS,Indexing

论文评审过程:Received 1 August 2008, Revised 8 November 2008, Accepted 27 November 2008, Available online 16 December 2008.

论文官网地址:https://doi.org/10.1016/j.datak.2008.11.003