计算机科学 ›› 2014, Vol. 41 ›› Issue (8): 186-191.doi: 10.11896/j.issn.1002-137X.2014.08.041
陈伟鹤,朱江,李文静
CHEN Wei-he,ZHU Jiang and LI Wen-jing
摘要： 为解决动态社会网络发布中敏感边的隐私保护问题,针对攻击者将目标节点在不同时刻的节点度作为背景知识的应用场景,提出了一种新的基于动态网络的敏感边的隐私保护方法,它的思想是:首先通过k-分组和(k,Δd)-匿名发布隐私保护方法来确保目标节点不能被唯一识别,被攻击识别的概率不超过1/k；其次根据泄露概率对边进行保护,确保敏感边泄露的概率不超过用户给定参数u。理论分析和实验证明,所提出的方法可以抵御攻击者对敏感边的攻击,能有效地保护社会网络中用户的隐私信息,同时保证了动态社会网络发布的质量。
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