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Concealing IMSI in 5G Network Using Identity Based Encryption

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  • First Online:
Network and System Security (NSS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10394))

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Abstract

Subscription privacy of a user has been a historical concern with all the previous generation mobile networks, namely, GSM, UMTS, and LTE. While a little improvement have been achieved in securing the privacy of the long-term identity of a subscriber, the so called IMSI catchers are still in existence even in the LTE and advanced LTE networks. Proposals have been published to tackle this problem in 5G based on pseudonyms, and different public-key technologies. This paper looks into the problem of concealing long-term identity of a subscriber and presents a technique based on identity based encryption (IBE) to tackle it. The proposed solution can be extended to a mutual authentication and key agreement protocol between a serving network (SN) and a user equipment (UE). This mutual authentication and key agreement protocol does not need to connect with the home network (HN) on every run. A qualitative comparison of the advantages and disadvantages of different techniques show that our solution is competitive for securing the long-term identity privacy of a user in the 5G network.

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Acknowledgement

We would like to thank Kimmo Järvinen for the useful comments and Jarno Niklas Alanko for his valuable feedback.

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Authors and Affiliations

  1. University of Helsinki, Helsinki, Finland

    Mohsin Khan & Valtteri Niemi

Authors
  1. Mohsin Khan
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  2. Valtteri Niemi
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Corresponding author

Correspondence to Mohsin Khan .

Editor information

Editors and Affiliations

  1. Xidian University, Xi’an, China

    Zheng Yan

  2. Eurecom, Sophia Antipolos, Valbonne, France

    Refik Molva

  3. Warsaw University of Technology, Warsaw, Poland

    Wojciech Mazurczyk

  4. Aalto University, Espoo, Finland

    Raimo Kantola

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Khan, M., Niemi, V. (2017). Concealing IMSI in 5G Network Using Identity Based Encryption. In: Yan, Z., Molva, R., Mazurczyk, W., Kantola, R. (eds) Network and System Security. NSS 2017. Lecture Notes in Computer Science(), vol 10394. Springer, Cham. https://doi.org/10.1007/978-3-319-64701-2_41

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  • DOI: https://doi.org/10.1007/978-3-319-64701-2_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64700-5

  • Online ISBN: 978-3-319-64701-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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