Effects of weather on drone to IoT QKD

Shlomi Arnon; Judy Kupferman

doi:10.1007/978-3-030-20951-3_5

Effects of weather on drone to IoT QKD

Shlomi Arnon, Judy Kupferman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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, hackersÂ from aÂ 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.

Original language	English
Title of host publication	Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings
Editors	Shlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung
Publisher	Springer Verlag
Pages	67-74
Number of pages	8
ISBN (Print)	9783030209506
DOIs	https://doi.org/10.1007/978-3-030-20951-3_5
State	Published - 1 Jan 2019
Event	3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019 - Beer Sheva, Israel Duration: 27 Jun 2019 → 28 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11527 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019
Country/Territory	Israel
City	Beer Sheva
Period	27/06/19 → 28/06/19

Keywords

Free Space Optics
Internet of Things
Quantum Key Distribution

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science (all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-20951-3_5

Cite this

Arnon, S., & Kupferman, J. (2019). Effects of weather on drone to IoT QKD. In S. Dolev, D. Hendler, S. Lodha, & M. Yung (Eds.), Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings (pp. 67-74). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11527 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-20951-3_5

Arnon, Shlomi ; Kupferman, Judy. / Effects of weather on drone to IoT QKD. Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. editor / Shlomi Dolev ; Danny Hendler ; Sachin Lodha ; Moti Yung. Springer Verlag, 2019. pp. 67-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Shlomi Arnon and Judy Kupferman",

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Arnon, S & Kupferman, J 2019, Effects of weather on drone to IoT QKD. in S Dolev, D Hendler, S Lodha & M Yung (eds), Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11527 LNCS, Springer Verlag, pp. 67-74, 3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, Beer Sheva, Israel, 27/06/19. https://doi.org/10.1007/978-3-030-20951-3_5

Effects of weather on drone to IoT QKD. / Arnon, Shlomi; Kupferman, Judy.

Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. ed. / Shlomi Dolev; Danny Hendler; Sachin Lodha; Moti Yung. Springer Verlag, 2019. p. 67-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11527 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Arnon, Shlomi

AU - Kupferman, Judy

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

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N2 - 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, hackersÂ from aÂ 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.

AB - 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, hackersÂ from aÂ 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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Y2 - 27 June 2019 through 28 June 2019

ER -

Arnon S, Kupferman J. Effects of weather on drone to IoT QKD. In Dolev S, Hendler D, Lodha S, Yung M, editors, Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. Springer Verlag. 2019. p. 67-74. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-20951-3_5

Effects of weather on drone to IoT QKD

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this