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Effects of Weather on Drone to IoT QKD

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Cyber Security Cryptography and Machine Learning (CSCML 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11527))

Abstract

The Internet of Things (IoT) is playing a growing role in society, and includes control over a range from household appliances to municipal power grids and nationwide assets. As a result, hackers from a national level down to low level criminals are looking to take advantage of important IoT infrastructures. These present an immediate target for cyber-terrorists as well as more mundane attacks by thieves and personal enemies, and it is imperative to devise defensive measures. In this work, we describe potential possible attacks on several IoT systems. As a result, vendors of the IoT infrastructure employ conventional encryption which is based on complexity to fight against hackers. However the emerging technology of quantum computing will make deciphering of the conventional encryption an easy task. This leads us to propose a scheme for use of QKD (quantum key distribution) which could be effective as a countermeasure. In this paper we will describe the feasibility study of weather effect design guidelines for a small, short range, mobile QKD system from drone to IoT on the ground.

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Authors and Affiliations

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

    Shlomi Arnon & Judy Kupferman

Authors
  1. Shlomi Arnon
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  2. Judy Kupferman
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Corresponding author

Correspondence to Shlomi Arnon .

Editor information

Editors and Affiliations

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

    Shlomi Dolev

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

    Danny Hendler

  3. Tata Consultancy Services, Chennai, India

    Sachin Lodha

  4. Columbia University and Google, New York, NY, USA

    Moti Yung

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Cite this paper

Arnon, S., Kupferman, J. (2019). Effects of Weather on Drone to IoT QKD. In: Dolev, S., Hendler, D., Lodha, S., Yung, M. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2019. Lecture Notes in Computer Science(), vol 11527. Springer, Cham. https://doi.org/10.1007/978-3-030-20951-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-20951-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20950-6

  • Online ISBN: 978-3-030-20951-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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