计算机工程2018，Vol.44Issue(1)：176-181,6.DOI:10.3969/j.issn.1000-3428.2018.01.030
一种个性化(p,k)匿名隐私保护算法
A Personalized (p, k)-Anonymity Privacy Protection Algorithm
摘要
Abstract
Most of the existing anonymous algorithms only implement the privacy protection by quasi-identifier generalization,which do not consider personalized protection issues of the sensitive attribute.Aiming at this problem,by using the p-sensitive k-anonymity model,this paper designs a personalized privacy protection algorithm based on sensitive attribute.It defines sensitive levels of sensitive attributes based on the user's own sensitivity and uses sensitive attribute generalization tree to publish low accuracy sensitive attribute values,so as to realize the personalized protection of sensitive attribute.Experimental results show that the proposed algorithm can shorten the execution time and reduce the amount of information loss,meanwhile meeting the requirements of sensitive attribute personalized protection.关键词
p-sensitive k匿名模型/个性化隐私保护/敏感属性/泛化/用户评分Key words
p-sensitive k-anonymity model/personalized privacy protection/sensitive attribute/generalization/user rating分类
信息技术与安全科学引用本文复制引用
贾俊杰,闫国蕾..一种个性化(p,k)匿名隐私保护算法[J].计算机工程,2018,44(1):176-181,6.基金项目
兰州市科技计划项目“数字图书馆信息服务平台的匿名发布技术研究”(20141256) （20141256）
甘肃省档案科技项目“数字档案信息共享中的隐私保护新技术研究”(2016-09). （2016-09）
