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The Black Mirror: What Your Mobile Phone Number Reveals About You

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Business Information Systems (BIS 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 389))

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Abstract

In the present era of pervasive mobile technologies, interconnecting innovations are increasingly prevalent in our lives. In this evolutionary process, mobile and social media communication systems serve as a backbone for human interactions. When assessing privacy risks related to this, privacy scoring models (PSM) can help quantifying the personal information risks. This paper uses the mobile phone number itself as a basis for privacy scoring. We tested 1,000 random phone numbers for their matching to social media accounts. The results raise concerns how network and communication layers are predominately connected. PSMs will support future organizational sensitivity for data linkability.

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Notes

  1. 1.

    See https://www.onlinestatusmonitor.com, last accessed 2019/12/01.

  2. 2.

    The prototype can be accessed via https://github.com/swingingcode/bis2020_blackmirror.

  3. 3.

    An example of such a search engine is http://shodan.io, last accessed 2019/12/07.

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Author information

Authors and Affiliations

  1. Accounting and Information Systems, University of Osnabrueck, Osnabrueck, Germany

    Nicolai Krüger & Frank Teuteberg

  2. TRANSFORMS.ME, Paris, France

    Agnis Stibe

Authors
  1. Nicolai Krüger
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  2. Agnis Stibe
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  3. Frank Teuteberg
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Corresponding author

Correspondence to Nicolai Krüger .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. University of Colorado, Colorado Springs, CO, USA

    Gary Klein

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Krüger, N., Stibe, A., Teuteberg, F. (2020). The Black Mirror: What Your Mobile Phone Number Reveals About You. In: Abramowicz, W., Klein, G. (eds) Business Information Systems. BIS 2020. Lecture Notes in Business Information Processing, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-53337-3_2

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  • DOI: https://doi.org/10.1007/978-3-030-53337-3_2

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  • Online ISBN: 978-3-030-53337-3

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