基于信息熵的位置大数据隐私保护研究

大数据时代移动通信和传感设备等位置感知技术的发展形成了位置大数据,为人们的生活、商业运作方法以及科学研究带来了巨大收益。由于位置大数据用途多样,内容交叉冗余,经典的K-匿名的隐私保护方法不能全面地保护用户隐私。本文设计了一个分布式位置隐私保护模型,实现了精确位置分割和多层次粗糙位置融合的新算法;利用概率推测技术建立连续查询攻击模型,采用基于信息熵的理论实证,结果显示新算法对位置大数据隐私保护的效果更好。

The development of Location Aware Technology in the era of big data, such as mobile communication and sensing equipment, form the big position data, Bring great benefits to people＇s life, business methods and scientific research. Due to the large variety of location da- ta, content cross redundancy, the classic K- anonymous privacy protection method cannot fully protect the user＇s privacy. In this paper, designed a distributed location privacy protection model, realized a new algorithm for accurate position segmentation and multi-level rough location fusion. A continuous query attack model is established by using the probability conjecture technique, An empirical study based on the theory of infor- mation entropy. The results show that the new algorithm has a better effect on the privacy protection of the location data.