Information fusion in data privacy: A survey

被引：26
|
作者：
Navarro-Arribas, Guillermo [1 ]
Torra, Vicenc [2 ]
机构：
[1] Univ Autonoma Barcelona, Dept Informat & Commun Engn, DEIC, Bellaterra 08193, Catalonia, Spain
[2] CSIC, Spanish Council Sci Res, Artificial Intelligence Res Inst, IIIA, Bellaterra 08193, Catalonia, Spain
来源：
INFORMATION FUSION | 2012年 / 13卷 / 04期
关键词：
Data privacy; Information fusion; Record linkage; Microaggregation; RECORD-LINKAGE; TRAJECTORY ANONYMIZATION; DIFFERENTIAL PRIVACY; REGRESSION-ANALYSIS; PRESERVING ANALYSIS; MAXIMUM-LIKELIHOOD; NOISE ADDITION; K-ANONYMITY; MICROAGGREGATION; SECURE;
D O I：
10.1016/j.inffus.2012.01.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we review the role of information fusion in data privacy. To that end, we introduce data privacy, and describe how information and data fusion are used in some fields of data privacy. Our study is focused on the use of aggregation for privacy protections, and record linkage techniques. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码：235 / 244
页数：10
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