图 书 馆
隐私保护的多功能出版Versatile Publishing For Privacy Preservation |
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| 课程网址: | http://videolectures.net/kdd2010_jin_vppp/ |
| 主讲教师: | Xin Jin |
| 开课单位: | 乔治华盛顿大学 |
| 开课时间: | 2010-10-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Motivated by the insufficiency of the existing quasi-identifier/sensitive-attribute (QI-SA) framework on modeling real-world privacy requirements for data publishing, we propose a novel versatile publishing scheme with which privacy requirements can be specified as an arbitrary set of privacy rules over attributes in the microdata table. To enable versatile publishing, we introduce the Guardian Normal Form (GNF), a novel method of publishing multiple sub-tables such that each sub-table is anonymized by an existing QI-SA publishing algorithm, while the combination of all published tables guarantees all privacy rules. We devise two algorithms, Guardian Decomposition (GD) and Utility-aware Decomposition (UAD), for decomposing a microdata table into GNF, and present extensive experiments over real-world datasets to demonstrate the effectiveness of both algorithms. |
| 关 键 词: | 准标识符; 敏感属性; 隐私规则; 算法有效性 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-15：heyf |
| 阅读次数: | 47 |