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Privacy and E-Authentication: The Dangers of Self-disclosure in Social Networks

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Exploring the Grand Challenges for Next Generation E-Business (WEB 2009)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 52))

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Abstract

We propose a Bayesian model of privacy in e-authentication and develop associated entropy-based metrics. A major contribution of this work is the application of weighted entropy to characterize the user’s privacy preferences. Further, we model the effects of side information on privacy and relate it to self-disclosure on Internet web sites and social networks. Specifically, our empirical study of Internet users’ information disclosure habits within social networks along with the theoretical results provide insights into building a regulatory framework to address privacy concerns in e-authentication.

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Author information

Authors and Affiliations

  1. Information Systems Program, Carnegie Mellon University at Qatar, PO Box 24866, Doha, Qatar

    Divakaran Liginlal

  2. Pamplin College of Business, Virginia Polytechnic and State University, 2062 Pamplin Hall (0235), Blacksburg, VA, 24060, USA

    Lara Khansa

Authors
  1. Divakaran Liginlal
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  2. Lara Khansa
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Editor information

Editors and Affiliations

  1. Department of Management Science and Systems, State University of New York at Buffalo, 14260, Buffalo, New York, NY, USA

    Raj Sharman

  2. Department of Management Science and Systems, State University of New York at Buffalo, School of Management, 14260, Buffalo, New York, NY, USA

    H. Raghav Rao

  3. Department of Information Systems, Arizona State University, 601G, 874606, Tempe, AZ, USA

    T. S. Raghu

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Liginlal, D., Khansa, L. (2010). Privacy and E-Authentication: The Dangers of Self-disclosure in Social Networks. In: Sharman, R., Rao, H.R., Raghu, T.S. (eds) Exploring the Grand Challenges for Next Generation E-Business. WEB 2009. Lecture Notes in Business Information Processing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17449-0_16

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  • DOI: https://doi.org/10.1007/978-3-642-17449-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17448-3

  • Online ISBN: 978-3-642-17449-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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