| 多维敏感属性隐私保护数据发布方法 |
| |
| 引用本文： | 王胜和,王佳俊,刘腾腾,倪巍伟.多维敏感属性隐私保护数据发布方法[J].计算机工程与应用,2012,48(20):136-141. |
| |
| 作者姓名： | 王胜和 王佳俊 刘腾腾 倪巍伟 |
| |
| 作者单位： | 1. 安徽公安职业学院公安科技系,合肥,230031
2. 东南大学计算机科学与工程学院,南京,210096 |
| |
| 基金项目： | 国家自然科学基金(No.61003057) |
| |
| 摘 要： | 在匿名数据发布中,当敏感属性为多维时,攻击者有可能能够获取一维或几维敏感属性信息,并且结合准标识符信息对其他敏感属性进行推理攻击。针对此问题提出(Dou-l)-匿名模型,更好地保护了敏感信息。基于多维桶和分解思想,提出(Dou-l)-匿名算法,使得即便攻击者掌握了部分敏感数据,仍然能较好地保护其他敏感属性数据的隐私安全性。实际数据实验证明,算法可以较好地均衡发布数据的安全性和可用性。
|
| 关 键 词： | 隐私保护 多敏感属性 数据发布 背景知识 |
Privacy-preserving data publishing method for dataset with multi-dimensional sensitive attributes |
| |
| WANG Shenghe
,
WANG Jiajun
,
LIU Tengteng
,
NI Weiwei.Privacy-preserving data publishing method for dataset with multi-dimensional sensitive attributes[J].Computer Engineering and Applications,2012,48(20):136-141. |
| |
| Authors: | WANG Shenghe WANG Jiajun LIU Tengteng NI Weiwei |
| |
| Affiliation: | 1.Department of Public Security Technology,Anhui Public Security Professional College,Hefei 230031,China 2.School of Computer Science and Engineering,Southeast University,Nanjing 210096,China |
| |
| Abstract: | When publishing data with multiple sensitive attributes,an adversary may be able to get some sensitive attribute information,attack other sensitive attribute information through a combination of this background knowledge with quasi-identifier information.To avoid this problem,a formal multiple sensitive attributes data publication model is defined,named(Dou-l)-anonymity.The corresponding(Dou-l)-anonymity implementation algorithm is proposed based on the idea of multi-sensitive bucketization and lossy join.The findings are verified by experiments with real data. |
| |
| Keywords: | privacy preserving multiple sensitive attributes data publishing background knowledge |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
