Enhanced user data privacy with pay-by-data model

Chao Wu, Yike Guo

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

12 Citations (Scopus)

Abstract

Personal data collection is becoming pervasive these days, these data has the risk of being abused by current application and application marketplace model, because only the price of application is explicitly indicated without clear agreement on usage of data, and the granularity of data access authentication is not enough to protect users privacy. In this short paper, we propose a new model of user data privacy. Data usage of the application is explicitly shown, and controlled by an authentication service, to protect users from the abuse of their data, especially in mobile application.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Big Data, Big Data 2013
PublisherIEEE Computer Society
Pages53-57
Number of pages5
ISBN (Print)9781479912926
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Big Data, Big Data 2013 - Santa Clara, CA, United States
Duration: 6 Oct 20139 Oct 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Big Data, Big Data 2013

Conference

Conference2013 IEEE International Conference on Big Data, Big Data 2013
Country/TerritoryUnited States
CitySanta Clara, CA
Period6/10/139/10/13

Keywords

  • Pay by data
  • User data privacy
  • application marketplace
  • mobile privacy

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