现代电子技术2018，Vol.41Issue(6)：5-10,6.DOI:10.16652/j.issn.1004-373x.2018.06.002
融合微聚集隐私保护的协同过滤算法研究
Research on microaggregation fused collaborative filtering algorithm for privacy protection
摘要
Abstract
As a safe and effective privacy protection algorithm,the existing k-anonymous privacy protection still has some insufficiency caused by background knowledge attack and homogeneity attack. Therefore,a sensitive attribute diversity based mi-croaggregation collaborative filtering algorithm for privacy protection is proposed. On the premise of meeting the k-anonymity re-quirement,the sensitive attribute diversity is fused into the algorithm. The difference values of sensitive attributes in the same equivalence class are set in the microaggregation algorithm to avoid too close sensitive attribute values which can cause privacy disclosure,so as to achieve the purpose of protecting the privacy data and ensure the accuracy of recommendation. The experi-mental results show that the algorithm can not only guarantee to provide users with efficient personalized recommendation,but al-so generate safe information tables.关键词
推荐系统/微聚集/协同过滤/k-匿名化/隐私泄露/隐私保护Key words
recommendation system/microaggregation/collaborative filtering/k-anonymity/privacy disclosure/privacy protection分类
信息技术与安全科学引用本文复制引用
鲜英,于炯,杨兴耀,薛朋强..融合微聚集隐私保护的协同过滤算法研究[J].现代电子技术,2018,41(6):5-10,6.基金项目
国家自然科学基金项目(61462079) （61462079）
国家自然科学基金项目(61262088) （61262088）
国家自然科学基金项目(61562086) （61562086）
国家自然科学基金项目(61363083) Project Supported by National Natural Science Foundation of China(61462079),National Natural Science Foundation of China(61262088), National Natural Science Foundation of China(61562086),National Natural Science Foundation of China(61363083) （61363083）
