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Brief Announcement: Providing End-to-End Secure Communication in Low-Power Wide Area Networks

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  • First Online:
Cyber Security Cryptography and Machine Learning (CSCML 2018)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10879))

Abstract

Recent technologies for low-rate, long-range transmission in unlicensed sub-GHz frequency bands enables the realization of Long-range Wide Area Network. Despite the rapid uptake of LPWANs, security concerns arising from the open architecture and usage of the unlicensed band are also growing. While the current LPWAN deployments include basic techniques to deal with end-to-end encryption there are specific security issues that arise due to the overall architecture and protocol layer design. In this paper, a new scheme to establish end-to-end secure communication in long-range IoT deployments is introduced. The advantages over the existing approaches and architectural design are presented in the context of typical smart cities application scenarios.

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References

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Author information

Authors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Ioannis Chatzigiannakis

  2. Computer Technology Institute and Press “Diophantus”, Patras, Greece

    Vasiliki Liagkou

  3. Computer Science Department, University of Liverpool, Liverpool, UK

    Paul G. Spirakis

  4. Computer Engineering and Informatics Department, Patras University, Patras, Greece

    Paul G. Spirakis

Authors
  1. Ioannis Chatzigiannakis
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  2. Vasiliki Liagkou
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  3. Paul G. Spirakis
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Corresponding author

Correspondence to Ioannis Chatzigiannakis .

Editor information

Editors and Affiliations

  1. Ben-Gurion University of the Negev, Beer Sheva, Israel

    Itai Dinur

  2. Ben-Gurion University of the Negev, Beer Sheva, Israel

    Shlomi Dolev

  3. Tata Consultancy Services (India), Chennai, Tamil Nadu, India

    Sachin Lodha

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Chatzigiannakis, I., Liagkou, V., Spirakis, P.G. (2018). Brief Announcement: Providing End-to-End Secure Communication in Low-Power Wide Area Networks. In: Dinur, I., Dolev, S., Lodha, S. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2018. Lecture Notes in Computer Science(), vol 10879. Springer, Cham. https://doi.org/10.1007/978-3-319-94147-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-94147-9_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94146-2

  • Online ISBN: 978-3-319-94147-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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