A study on context-aware privacy protection for personal information

  • Zhang Qingsheng
  • , Qi Yong
  • , Zhao Jizhong
  • , Hou Di
  • , Zhao Tianhai
  • , Liu Liang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

By using personal information in a pervasive computing environment, context-aware applications can provide appropriate services for people. This personal information is often involved in personal privacy. In order to protect personal privacy concerns about personal information, privacy role is proposed to control access personal information. We also construct an information system about the privacy decision of personal information disclosure based on people's interaction history. In the initial period of personal information disclosure, the privacy decision is made by people and the information system is constructed based on the decision data. Then privacy disclosure policies are extracted from this information system using rough set theory. According to deducing from the privacy disclosure policies and people's context information, the context-aware application is assigned to an adequate privacy role. It reduces the distraction of privacy decision for people. A case study further shows the proposed method is effective. Finally, it provides about the overload performance of privacy role analysis engine.

Original languageEnglish
Title of host publicationProceedings of 16th International Conference on Computer Communications and Networks 2007, ICCCN 2007
Pages1351-1358
Number of pages8
DOIs
StatePublished - 2007
Event16th International Conference on Computer Communications and Networks 2007, ICCCN 2007 - Honolulu, HI, United States
Duration: 13 Aug 200716 Aug 2007

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055

Conference

Conference16th International Conference on Computer Communications and Networks 2007, ICCCN 2007
Country/TerritoryUnited States
CityHonolulu, HI,
Period13/08/0716/08/07

Keywords

  • Context-aware
  • Personal information
  • Privacy protection
  • Rough set theory

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