Privacy Evaluating Based on Trajectories Visualization & Analyzation

摘要：

　　The trade-off among individual privacy,data utility and data feature of service has been a great concern when designing and evaluating privacy preserv-ing schemes in trajectories publishing.The trajectories data is spatial and temporal correlated strongly.So,Privacy-preserving over them should take the human be-haviors and their status into account.In this paper,we develop a novel method to investigate and analyze users” behaviors as well as the crowd density after ab-stracting users” ROIs.Finally,we evaluate the privacy stress via a well-designed indictor combing the trajectories visualization and analyzation.Experiments show that the method is capable of effectively finding both crowd living patterns and distribution,and the proposed indictor can quantize the mobility data utility pre-cisely in grid.

关键词： Trajectory privacy preserving privacy evaluation ROI POI crowd density matrix heat map

作者: Huijun Dai Jie Dong Xiaolin Gui Min Zhu Zhaosheng Dai

作者单位: School of Electronics and Communication Engineering,Xi”an Jiaotong University;Shaanxi Key lab of Com School of Electronics and Communication Engineering,Xi”an Jiaotong University

会议类型: 国内会议

会议名称: 第九届中国卫星导航学术年会

会议地点: 哈尔滨

会议语种:英文

页码: 1-12

在线出版日期: 2018-05-23（万方平台首次上网日期，不代表论文的发表时间）