Personalized extended (α, k)-anonymity model for privacy-preserving data publishing | |
Qingqing Xie and Liangmin Wang; Xiangwen Liu | |
刊名 | Concurrency and Computation: Practice and Experience
![]() |
2017 | |
卷号 | Vol.29 No.6 |
关键词 | data publishing privacy preservation personalized k-anonymity -anonymity clustering |
ISSN号 | 1532-0634 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2159077 |
专题 | 安徽大学 |
作者单位 | 1.School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China 2.School of Computer Science and technology, Anhui University, Hefei, China |
推荐引用方式 GB/T 7714 | Qingqing Xie and Liangmin Wang,Xiangwen Liu. Personalized extended (α, k)-anonymity model for privacy-preserving data publishing[J]. Concurrency and Computation: Practice and Experience,2017,Vol.29 No.6. |
APA | Qingqing Xie and Liangmin Wang,&Xiangwen Liu.(2017).Personalized extended (α, k)-anonymity model for privacy-preserving data publishing.Concurrency and Computation: Practice and Experience,Vol.29 No.6. |
MLA | Qingqing Xie and Liangmin Wang,et al."Personalized extended (α, k)-anonymity model for privacy-preserving data publishing".Concurrency and Computation: Practice and Experience Vol.29 No.6(2017). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论