Privacy preserving release of blogosphere data in the presence of search engines

被引：3

作者：

Lopez, Nacho ^{[1
]}

Sebe, Francesc ^{[1
]}

机构：

[1] Univ Lleida, Dept Math, E-25001 Lleida, Spain

来源：

INFORMATION PROCESSING & MANAGEMENT | 2013年 / 49卷 / 04期

关键词：

Blogosphere; Directed graph; PageRank; Privacy;

D O I：

10.1016/j.ipm.2013.01.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Users registered in a blogging platform and the subscriptions among them compose a social network with non-symmetric relations, whose data can be modeled as a directed graph. Release of such data for scientific analysis requires a pre-processing for ensuring no private information about people will be disclosed. The measures to be taken depend on the previous structural information a dishonest analyst is assumed to have. In this paper, the considered previous information is the sorting of blogs according to their PageRank relevance, which can be obtained by querying the blogging platform search engine. After analyzing the scenario, the n-rank confusion model is proposed. Experimental results show this model achieves a high privacy protection level while preserving the structural parameters of directed graph data to a high extent. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：833 / 851

页数：19

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