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Strengthening Mobile Network Security Using Machine Learning

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Mobile Web and Intelligent Information Systems (MobiWIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9847))

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Abstract

Lately, several episodes of tapping and tracking of mobile phones in Europe including Norway have been revealed, showing the vulnerabilities of both the mobile network and mobile phones. A better protection of the user’s confidentiality and privacy is urgently required. This paper will present an innovative mobile network security system using machine learning. The paper will start with a vulnerability and threat analysis of the evolving mobile network, which is a fusion of mobile wireless technologies and Internet technologies, complemented with the Internet of Things. The main part of the paper will concentrate on clarifying how machine learning can help improving mobile network security. The focus will be on elucidating what makes machine learning superior to other techniques. A special case study on the detection of IMSI Catcher, the fake base station that is used in mobile phone tracking and tapping, will be explained.

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References

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Author information

Authors and Affiliations

  1. Linus AS, Martin Linges vei 15, 1364, Fornebu, Norway

    Van Thuan Do

  2. College of Applied Sciences, Oslo and Akershus University, Pilestredet 46, 0167, Oslo, Norway

    Paal Engelstad & Boning Feng

  3. Telenor ASA, Snarøyveien 30, 1331, Fornebu, Norway

    Thanh van Do

  4. Norwegian University of Science and Technology, 7031, Trondheim, Norway

    Thanh van Do

Authors
  1. Van Thuan Do
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  2. Paal Engelstad
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  3. Boning Feng
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  4. Thanh van Do
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Corresponding author

Correspondence to Thanh van Do .

Editor information

Editors and Affiliations

  1. Oxford Brookes University, Oxford, United Kingdom

    Muhammad Younas

  2. University of Bradford, Bradford, United Kingdom

    Irfan Awan

  3. University of Vienna, Vienna, Austria

    Natalia Kryvinska

  4. University of Vienna, Vienna, Austria

    Christine Strauss

  5. Telenor R&D, Fornebu, Norway

    Do van Thanh

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© 2016 Springer International Publishing Switzerland

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Do, V.T., Engelstad, P., Feng, B., van Do, T. (2016). Strengthening Mobile Network Security Using Machine Learning. In: Younas, M., Awan, I., Kryvinska, N., Strauss, C., Thanh, D. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2016. Lecture Notes in Computer Science(), vol 9847. Springer, Cham. https://doi.org/10.1007/978-3-319-44215-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-44215-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44214-3

  • Online ISBN: 978-3-319-44215-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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