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International Conference on Trust, Privacy and Security in Digital Business

TrustBus 2013: Trust, Privacy, and Security in Digital Business pp 74–84Cite as

A Classification of Factors Influencing Low Adoption of PETs Among SNS Users

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Part of the Lecture Notes in Computer Science book series (LNSC,volume 8058)

Abstract

Privacy concerns among Social Networking Services (SNS) users are increasing. However, Privacy-Enhancing Technologies (PETs) are not, yet, widely deployed and their deployment rate is marginally growing. This is surprising given the fact that PETs are widely recognized as effective at reducing privacy risks. This paper explores this paradox, by presenting a classification of the key factors influencing the adoption of PETs. The conclusions of our analysis suggest that, certain factors are overemphasized, while the importance of others has been overlooked. Our classification is based on relevant literature and experimental analysis of PETs, and can inform both practitioners for designing and enhancing PETs, as well as researchers, as we identify several open issues.

Keywords

  • Social Network Services
  • Privacy-Enhancing Technologies
  • adoption

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Author information

Authors and Affiliations

  1. Department of Information and Communication Systems Engineering, University of the Aegean, Samos, GR-83200, Greece

    Konstantina Vemou & Maria Karyda

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  1. Konstantina Vemou
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  2. Maria Karyda
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Editors and Affiliations

  1. Centre for Security Communications and Network Research, Plymouth University, PL4 8AA, Plymouth, UK

    Steven Furnell

  2. Department of Digital Systems, University of Piraeus, 18532, Piraeus, Greece

    Costas Lambrinoudakis

  3. Computer Science Department, University of Malaga, Campus de Teatinos s/n, 29071, Malaga, Spain

    Javier Lopez

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Vemou, K., Karyda, M. (2013). A Classification of Factors Influencing Low Adoption of PETs Among SNS Users. In: Furnell, S., Lambrinoudakis, C., Lopez, J. (eds) Trust, Privacy, and Security in Digital Business. TrustBus 2013. Lecture Notes in Computer Science, vol 8058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40343-9_7

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  • DOI: https://doi.org/10.1007/978-3-642-40343-9_7

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  • Print ISBN: 978-3-642-40342-2

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