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Enforcing Privacy in Secondary User Information Sharing and Usage

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7899))

Abstract

Secondary user information sharing and usage for purposes other than what it was primarily collected for has become an increasing trend, especially, as we witness a surge in the volume of data collected from and about users online. Although, allowing secondary sharing and usage of data in new and innovative ways is beneficial to the user and the society at large, it also poses the privacy risks of sharing and using personal information for unintended purposes. This paper discusses my PhD thesis towards creating a privacy framework for secondary user information sharing. The aim is to develop an infrastructure that enables sharing of user information across applications and services for beneficial purposes, while balancing it with protecting the user against the potential privacy risks. This paper discusses current work and open challenges.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Saskatchewan, 110 Science Place, S7N 5C9, Saskatoon, Canada

    Johnson Iyilade

Authors
  1. Johnson Iyilade
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Delaware, 19716, Delaware, DE, USA

    Sandra Carberry

  2. School of Computing, National College of Ireland, Mayor Street, IFSC, Dublin 1, Ireland

    Stephan Weibelzahl

  3. Dipartimento di Ingegneria, Roma Tre University, Via della Vasca Navale, 79, 00146, Rome, Italy

    Alessandro Micarelli

  4. Department of Computer Science, University of Bari Aldo Moro, 70126, Bari, Italy

    Giovanni Semeraro

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Iyilade, J. (2013). Enforcing Privacy in Secondary User Information Sharing and Usage. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38844-6_48

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  • DOI: https://doi.org/10.1007/978-3-642-38844-6_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38843-9

  • Online ISBN: 978-3-642-38844-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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