School of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China.
PLoS One. 2024 May 30;19(5):e0304446. doi: 10.1371/journal.pone.0304446. eCollection 2024.
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,使用协作用户共享的位置信息构建匿名区域是主要方法。然而,这种协作过程不仅增加了移动用户位置隐私泄露的风险,还降低了定位精度。针对这个问题,我们提出了一种平衡策略,将保护移动用户位置隐私和提高定位精度的问题转化为位置隐私和定位精度之间的平衡问题。然后,将移动用户与不同协作用户的协作建模为一个目标优化问题,并分别评估位置隐私和定位精度,以制定不同的选择策略。最后,构建一个优化函数来选择最佳的选择策略。实验结果表明,我们提出的策略可以有效地在位置隐私和定位精度之间实现平衡。