基于信任和信息流模型的隐私保护方法

J4 ›› 2011, Vol. 46 ›› Issue (5): 39-43.

• SEWM 2011 会议 • 上一篇下一篇

基于信任和信息流模型的隐私保护方法

高枫1,何泾沙2

1.北京工业大学计算机学院, 北京 100124; 2.北京工业大学软件学院, 北京 100124

收稿日期:2010-12-06 发布日期:2011-05-25
作者简介:高枫(1984- ),女,博士研究生,研究方向为隐私保护,信任管理.Email:maple0371@emails.bjut.edu.cn
基金资助:
北京市教委科研项目(KM201010005027)

A privacy protection method based on a trust and information flow model

GAO Feng1, HE Jing-sha2

1. College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China;
2. School of Software Engineering, Beijing University of Technology, Beijing 100124, China

Received:2010-12-06 Published:2011-05-25

摘要/Abstract

摘要：

目前基于信任的隐私保护方法将信任等级与隐私信息敏感等级简单进行映射以控制隐私信息的披露,所以不能反映信任和隐私信息的动态性和上下文相关性等特点。为解决此问题,提出一个基于信任的信息流模型,并分析证明了该模型是合理和安全的。结合该模型和隐私信息访问粒度控制,进一步提出了一种基于信任和信息流模型的隐私保护方法,该方法将信任运用在隐私保护中,能有效实现对隐私信息安全的保护。

关键词: 信任;信息流模型;本体;隐私保护;访问控制粒度

Abstract:

The existing trust based on privacy protection methods simply map the trust rank to privacy sensitive grade which cannot express the dynamic and contextdepend characteristic of trust and privacy information. In order to solve this problem, an information flow model based on trust is proposed, and the model is reasonable and secure by analysis. Using this new model and also by controlling the access granularity of privacy information, a privacy protection method is proposed which can use trust to protect privacy effectively and safely.

Key words: trust; information flow model; ontology; privacy protection; access control granularity

高枫1,何泾沙2. 基于信任和信息流模型的隐私保护方法[J]. J4, 2011, 46(5): 39-43.

GAO Feng1, HE Jing-sha2. A privacy protection method based on a trust and information flow model[J]. J4, 2011, 46(5): 39-43.

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基于信任和信息流模型的隐私保护方法

A privacy protection method based on a trust and information flow model

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