MULTIPLE RELEASES OF k-ANONYMOUS DATA SETS AND k-ANONYMOUS RELATIONAL DATABASES

KLARA STOKES; VICENC TORRA

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MULTIPLE RELEASES OF k-ANONYMOUS DATA SETS AND k-ANONYMOUS RELATIONAL DATABASES

机译：k匿名数据集和k匿名关系数据库的多个版本

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摘要

In data privacy, the evaluation of the disclosure risk has to take into account the fact that several releases of the same or similar information about a population are common. In this paper we discuss this issue within the scope of k-anonymity. We also show how this issue is related to the publication of privacy protected databases that consist of linked tables. We present algorithms for the implementation of k-anonymity for this type of data.

机译：在数据隐私中，对披露风险的评估必须考虑到以下事实：有关人群的相同或相似信息的多次发布是常见的。在本文中，我们在k匿名范围内讨论此问题。我们还将展示此问题与包含链接表的受隐私保护的数据库的发布有何关系。我们提出了用于实现此类数据的k匿名性的算法。

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来源
《International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems》 |2012年第6期|839-853|共15页
作者
KLARA STOKES; VICENC TORRA;
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作者单位

Estudis d'Informatica, Multimedia i Telecomuncacio, Internet Interdisciplinary Institute (INS), Universitat Oberta de Catalunya, Edifici Media-TIC, Roc Boronat 117, la planta, 08018 Barcelona, Catalonia, Spain;

IIIA, Artificial Intelligence Research Institute, CSIC, Consejo Superior de Investigaciones Cientificas, Campus Universitat Autonoma de Barcelona, 08193 Bellaterra, Catalonia, Spain;

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原文格式 PDF
正文语种 eng
中图分类
关键词
data privacy; disclosure risk; k-anonymity; databases;

机译：数据隐私;披露风险;k-匿名性数据库;

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1. Linear spaces and transversal designs: k-anonymous combinatorial configurations for anonymous database search notes [J] . Klara Stokes, Oriol Farras Designs, Codes and Crytography . 2014,第3期

机译：线性空间和横向设计：用于匿名数据库搜索注释的k-匿名组合配置
2. Current Developments of k-Anonymous Data Releasing [J] . Jiuyong Li, Hua Wang, Huidong Jin, Electronic Journal of Health Informatics . 2008,第1期

机译：k-匿名数据发布的最新发展
3. A Partial Victory For Data Quality - Veridata makes it easy to compare source and target data in relational tables but limited database support and functionality hamper this 1.0 release [J] . RAJAN CHANDRAS Intelligent enterprise . 2006,第2期

机译：数据质量的部分胜利-Veridata可以轻松比较关系表中的源数据和目标数据，但是有限的数据库支持和功能阻碍了此1.0版本的发布
4. k-Anonymous Microdata Release via Post Randomisation Method [C] . Dai Ikarashi, Ryo Kikuchi, Koji Chida, International Workshop on Security . 2015

机译：K-Anonymous Microdata通过Post Dramanation方法发布
5. Of Human Memory and Databases: Ardemia* The Relational Data Model and Management System as a Set Theory Based Modeling Architecture for Human Long Term Memory. [D] . Bahr, Gisela Susanne. 2014

机译：人类记忆和数据库：Ardemia *关系数据模型和管理系统，是基于集合理论的人类长期记忆建模架构。
6. Argus—A New Database System for Web-Based Analysis of Multiple Microarray Data Sets [O] . Jason Comander, Griffin M. Weber, Michael A. Gimbrone Jr., 2001

机译：Argus-一种用于基于Web的多个微阵列数据集分析的新数据库系统
7. Multiple releases of k-anonymous data sets and k-anonymous relational databases [O] . Stokes Klara, Torra Vicenç 2016

机译：多次发布k匿名数据集和k匿名关系数据库
8. Data Management and Language Enhancement for Generalized Set Theory Computer Language for Operation of Large Relational Databases [R] . Finley, G. T. 1988

机译：大型关系数据库操作的广义集理论计算机语言的数据管理与语言增强

MULTIPLE RELEASES OF k-ANONYMOUS DATA SETS AND k-ANONYMOUS RELATIONAL DATABASES

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