Information Security Risk Assessment of Smartphones Using Bayesian Networks

Authors

  • Kristian Herland Aalto University, School of Electrical Engineering, Department of Communications and Networking, Espoo, Finland
  • Heikki Hämmäinen Aalto University, School of Electrical Engineering, Department of Communications and Networking, Espoo, Finland
  • Pekka Kekolahti Aalto University, School of Electrical Engineering, Department of Communications and Networking, Espoo, Finland

DOI:

https://doi.org/10.13052/2245-1439.424

Keywords:

Mobile

Abstract

This study comprises an information security risk assessment of smartphone use in Finland using Bayesian networks. The primary research method is a knowledge-based approach to build a causal Bayesian network model of information security risks and consequences. The risks, consequences, probabilities and impacts are identified from domain experts in a 2-stage interview process with 8 experts as well as from existing research and statistics. This information is then used to construct a Bayesian network model which lends itself to different use cases such as sensitivity and scenario analysis. The identified risks’probabilities follow a long tail wherein the most probable risks include unintentional data disclosure, failures of device or network, shoulder surfing or eavesdropping and loss or theft of device. Experts believe that almost 50% of users share more information to other parties through their smartphones than they acknowledge or would be willing to share. This study contains several implications for consumers as well as indicates a clear need for increasing security awareness among smartphone users.

 

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Author Biographies

Kristian Herland, Aalto University, School of Electrical Engineering, Department of Communications and Networking, Espoo, Finland

K. Herland is a cyber security specialist with an M.Sc. (Tech.) from the Department of Communications and Networking, Aalto University, Finland. He works as a security consultant for various public and private sector clients regarding security-related topics from technical IT security to organization-wide risk management. His special interests lie in the security of mobile devices and related technologies.

Heikki Hämmäinen, Aalto University, School of Electrical Engineering, Department of Communications and Networking, Espoo, Finland

H. Hämmäinen is professor of networking technology at Department of Communications and Networking, Aalto University, Finland, since 2003. He received his Ph.D. in computer science from the same university in 1992. His main research interests are in techno-economics and regulation of mobile services and networks. Special topics recently include measurement and analysis of mobile Internet usage, value networks of cognitive radio, and diffusion of Internet protocols in mobile.

Pekka Kekolahti, Aalto University, School of Electrical Engineering, Department of Communications and Networking, Espoo, Finland

P. Kekolahti is a postgraduate student at the Department of Communications and Networking, Aalto University, Finland. His research interest is in the modeling of variety of complex telecommunications business related phenomena using Bayesian Networks. Pekka Kekolahti holds a M.Sc. and Lic.Sc.(Technology) from Helsinki University of Technology.

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Published

2015-08-15

How to Cite

1.
Herland K, Hämmäinen H, Kekolahti P. Information Security Risk Assessment of Smartphones Using Bayesian Networks. JCSANDM [Internet]. 2015 Aug. 15 [cited 2024 Nov. 23];4(2-3):65-86. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/5155

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