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Context-aware learning privacy disclosure policy from interaction history

  • Qingsheng Zhang
  • , Yong Qi
  • , Jizhong Zhao
  • , Di Hou
  • , Tianhai Zhao
  • , Jihong Zhang
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Context-aware applications use personal information to provide appropriate services for people. This personal information is often involved in personal privacy. In order to balance the personal privacy concerns against enjoying context-aware services, we propose a conceptual framework and privacy role to control access personal information. Privacy disclosure policy can be learned from people's interaction history about personal information disclosure using rough set theory. According to deducing from the privacy disclosure policy and context information, a context-aware application is assigned to an adequate privacy role. A case analysis and the initial performance evaluation show that the proposed method is effective.

Original languageEnglish
Title of host publicationProceedings - Third International Conference on Natural Computation, ICNC 2007
Pages3-7
Number of pages5
DOIs
StatePublished - 2007
Event3rd International Conference on Natural Computation, ICNC 2007 - Haikou, Hainan, China
Duration: 24 Aug 2007 → 27 Aug 2007

Publication series

NameProceedings - Third International Conference on Natural Computation, ICNC 2007
Volume5

Conference

Conference3rd International Conference on Natural Computation, ICNC 2007
Country/TerritoryChina
CityHaikou, Hainan
Period24/08/07 → 27/08/07

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