【摘要】 随着基于位置的服务在人们日常生活中日益普及,个人的位置隐私正面临着严重的威胁。基于增量近邻查询思想,结合反映人口分布的路网环境,提出了一种新的位置隐私保护方法。该方法通过P2P系统结构摆脱了传统中心服务器结构的局限,解决了单点脆弱性问题,同时可以保证在P2P系统结构中代理用户非可信情况下用户的隐私安全。最后,在路网密度不同的模拟数据集上对提出的方法进行了实验,结果验证了该方法的有效性。更多还原

【Abstract】 With the growing popularity of location-based services in people’s daily life,personal location privacy is facing a serious threat.This paper proposed a new location privacy protection method based on incremental nearest neighbor query,which considers network environment reflecting the population distribution.Using the P2 Psystem structure,the method gets rid of the limitations of traditional central server architecture and solves the vulnerability of single point.Meanwhile,this method can guarantee the user’s privacy in the case that proxy user in P2 Psystem architecture is non-credible.Finally,the proposed method was evaluated in simulated data sets of different road density and the result verifies the validity of the method.更多还原