中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 期刊论文
Title:
基于节点分割的社交网络属性隐私保护
Alternative Title: Attribute privacy preservation in social networks based on node anatomy
Author: 付艳艳 ; 张敏 ; 冯登国 ; 陈开渠
Corresponding Author: Fu, Y.-Y.(fuyy@tca.iscas.ac.cn)
Keyword: 社交网络 ; 属性隐私 ; 匿名 ; 节点分割 ; social network ; attribute privacy ; anonymity ; node anatomy
Source: 软件学报
Issued Date: 2014
Volume: 25, Issue:4, Pages:768-780
Indexed Type: EI ; CSCD
Department: 中国科学院软件研究所可信计算与信息保证实验室,北京,100190 国家超级计算深圳中心(深圳云计算中心),广东深圳,518055
Abstract: 现有研究表明,社交网络中用户的社交结构信息和非敏感属性信息均会增加用户隐私属性泄露的风险.针对当前社交网络隐私属性匿名算法中存在的缺乏合理模型、属性分布特征扰动大、忽视社交结构和非敏感属性对敏感属性分布的影响等弱点,提出一种基于节点分割的隐私属性匿名算法.该算法通过分割节点的属性连接和社交连接,提高了节点的匿名性,降低了用户隐私属性泄露的风险.此外,量化了社交结构信息对属性分布的影响,根据属性相关程度进行节点的属性分割,能够很好地保持属性分布特征,保证数据可用性.实验结果表明,该算法能够在保证数据可用性的同时,有效抵抗隐私属性泄露.
English Abstract: Recent research shows that social structures or non-sensitive attributes of users can increase risks of user sensitive attribute disclosure in social networks. Most of the existing private attribute anonymization schemes have many defects, such as lack of proper model, too much distortion on attributes distribution, neglect social structure and non-sensitive attributes' influence on sensitive attributes. In this paper, an attribute privacy preservation scheme based on node anatomy is proposed. It allocates original node's attribute links and social links to new nodes to improve original node's anonymity, thus protects user from sensitive attribute disclosure. Meanwhile, it measures social structure influence on attribute distribution, and splits attributes according to attributes' correlations. Experimental results show that the proposed scheme can maintain high data utility and resist private attribute disclosure. © Copyright 2014, Institute of Software, the Chinese Academy of Sciences. All rights reserved.
Language: 中文
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16758
Appears in Collections:软件所图书馆_期刊论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
付艳艳,张敏,冯登国,等. 基于节点分割的社交网络属性隐私保护[J]. 软件学报,2014-01-01,25(4):768-780.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[付艳艳]'s Articles
[张敏]'s Articles
[冯登国]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[付艳艳]‘s Articles
[张敏]‘s Articles
[冯登国]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2019  中国科学院软件研究所 - Feedback
Powered by CSpace