计算机技术与发展2016，Vol.26Issue(8)：88-92,5.DOI:10.3969/j.issn.1673-629X.2016.08.019
加权社会网络中的个性化隐私保护算法
Personalized Privacy Preservation Algorithm in Weighted Social Networks
摘要
Abstract
There is a phenomenon that some users do not need privacy protections or they need special privacy protections in social net-works,so a personalized privacy protection method to meet these requirements is proposed based on weighted social network. The privacy protection is divided into three levels:without protection ( L =0),preventing the weight bags attack ( L =1),and preventing the sensi-tive attributes disclosure ( L =2). For nodes with L≠0, k-degree grouping and weight bag modifying is used to the anonymous nodes, which makes each group meets the k anonymity of weight bag. In the process of grouping,the group with L =2 has to ensure l-diversity for sensitive attributes. Theoretical analysis and experiments show that attackers can’ t identify a node with the probability over 1/ k and infer node’ s sensitive attribute with the probability over 1/ l . The method satisfies the user’ s requirements in weighted social network, and the information loss is reduced.关键词
加权社会网络/隐私保护/个性化/权重包/敏感属性Key words
weighted social network/privacy preservation/personalization/weight bag/sensitive attributes分类
信息技术与安全科学引用本文复制引用
陈春玲,熊晶,陈琳,余瀚..加权社会网络中的个性化隐私保护算法[J].计算机技术与发展,2016,26(8):88-92,5.基金项目
国家自然科学基金资助项目(11501302) （11501302）
