Key notations.

In privacy protection methods based on location services, constructing anonymous areas using location information shared by collaborative users is the main method. However, this collaborative process not only increases the risk of mobile users’ location privacy being leaked, but also reduces positioning accuracy. In response to this problem, we propose a balancing strategy, which transforms the problem of protecting mobile users’ location privacy and improving positioning accuracy into a balance issue between location privacy and positioning accuracy. The cooperation of mobile users with different collaborating users is then modeled as an objective optimization problem, and location privacy and positioning accuracy are evaluated separately to make different selection strategies. Finally, an optimization function is constructed to select the optimal selection strategies. Experimental results show that our proposed strategy can effectively achieve the balance between location privacy and positioning accuracy.

在基于位置服务的隐私保护方法中，利用协作用户共享的位置信息构建匿名区域是主流手段。然而，该协作流程不仅会提升移动用户位置隐私泄露的风险，同时还会降低定位精度。针对该问题，本文提出一种均衡策略，将保护移动用户位置隐私与提升定位精度的问题转化为位置隐私与定位精度之间的均衡问题。随后将不同协作用户间的移动用户协作行为建模为目标优化问题，并分别对位置隐私与定位精度进行评估，以制定差异化的选择策略。最终构建优化函数以遴选最优选择策略。实验结果表明，本文所提策略可有效实现位置隐私与定位精度之间的均衡。