位置服务中基于假数据的轨迹隐私度量方法

The measure methods of trajectory privacy protection in location-based service based on dummies

随着各种各样移动设备的普及,轨迹隐私保护问题变得日益严峻,作为轨迹隐私保护的一个方向,国内外开始慢慢建立起一些较为成熟的度量机制,常见的有基于k-匿名保护机制的隐私度量方法、基于跟踪的度量方法、针对特定匿名系统的轨迹隐私度量方法等。文章在现有研究的基础上构建了了一种基于假数据轨迹隐私保护技术的隐私度量标准,从发布假轨迹上点之间的关联性、发布数据所包含信息的精确度以及攻击者所拥有背景知识多少三个方面进行轨迹隐私保护度的全面度量。

With the popularity of mobile devices, the trajectory of privacy protection has become an increasingly serious issue, as a direction of the trajectory of privacy protection, privacy measurement mechanism was built, such as trajectory privacy metric based on k-anonymity, trajectory privacy metric based on tracking and trajectory privacy metric based on pecific privacy trajectory systems. In this paper, on the basis of existing research we construct a standard which was built from the relationship between trajectory data, the accuracy of the data and background knowledge which attackers have known to measure of privacy protection technology based on dummies.