计算机科学 ›› 2019, Vol. 46 ›› Issue (10): 148-153.doi: 10.11896/jsjkx.190100050
柯昌博1,2, 黄志球2, 吴嘉余1
KE Chang-bo1,2, HUANG Zhi-qiu2, WU Jia-yu1
摘要： 为了防止云服务非法获取用户的个人敏感隐私信息,提出一种面向大数据的隐私信息发布检测与保护方法。首先,对用户的隐私数据进行分类,分别对隐私数据的相似度和暴露代价进行度量;其次,根据相似度和暴露代价检测云服务所要求用户提供的隐私数据中是否包含暴露链和关键隐私数据;再次,对连续隐私数据集(包含暴露链和关键隐私数据的数据集)进行离散化,同时防止离散的隐私数据集(不包含暴露链和关键隐私数据的数据集)连续化;最后,通过实验对离散的隐私数据集与没有离散的数据集进行隐私数据链的发现,从查准率和查全率上看,Exact过滤器的查准率低于未被离散的数据集57%,而查全率低于未被离散的数据集17%。因此,所提方法达到了保护用户敏感隐私信息的目的。
中图分类号:
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