Hardness of k-anonymous microaggregation

被引：1
|
作者：
Thaeter, Florian [1 ]
Reischuk, Ruediger [1 ]
机构：
[1] Univ Lubeck, Inst Theoret Informat, D-23562 Lubeck, Germany
来源：
DISCRETE APPLIED MATHEMATICS | 2021年 / 303卷
关键词：
Microaggregation; k-anonymity; Clustering;
D O I：
10.1016/j.dam.2020.10.005
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
k-anonymous microaggregation of data in R-d with d >= 2 is shown to be NP-hard for all k >= 4, extending a previous result for the case k = 3 only. The proof uses similarities between microaggregation and the k-means problem. A reduction of Planar 3-SAT to the k-means clustering problem is adapted to 4-anonymous clustering. Then this construction is extended to arbitrary k >= 4. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码：149 / 158
页数：10
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