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

被引：7

作者：

Stokes, Klara ^{[1
]}

Torra, Vicenc ^{[2
]}

机构：

[1] Univ Oberta Catalunya, Internet Interdisciplinary Inst IN3, Barcelona 08018, Catalonia, Spain

[2] CSIC, Artificial Intelligence Res Inst, IIIA, Bellaterra 08193, Catalonia, Spain

来源：

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2012年 / 20卷 / 06期

关键词：

Data privacy; disclosure risk; k-anonymity; databases; MODEL;

D O I：

10.1142/S0218488512400260

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：839 / 853

页数：15

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