山东大学学报(理学版) ›› 2017, Vol. 52 ›› Issue (5): 75-84.doi: 10.6040/j.issn.1671-9352.2.2016.203
毕晓迪1,2,梁英1,史红周1,田辉3
BI Xiao-di1,2, LIANG Ying1, SHI Hong-zhou1, TIAN Hui3
摘要: 针对基于位置的服务带来的用户位置隐私暴露问题,提出了一种基于隐私偏好的二次匿名位置隐私保护方法,融合k-匿名技术和差分隐私技术确保用户位置隐私,设计隐私等级划分策略,支持用户个性化设置隐私保护级别。根据隐私级别确定k匿名集大小,通过基于位置熵的k匿名算法求解k-1个匿名点,使k匿名集的点具有最大概率相似性;在此基础上进一步求解获取位置服务的匿名位置,提出了基于差分隐私的匿名位置生成算法,在保护用户位置隐私的同时确保获取精确的位置服务。实验结果表明在用户隐私等级设置范围内,所提方法能有效兼顾位置隐私保护和LBS服务质量。
中图分类号:
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