Effects of weather on drone to IoT QKD

Shlomi Arnon, Judy Kupferman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationCyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings
EditorsShlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783030209506
StatePublished - 1 Jan 2019
Event3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019 - Beer Sheva, Israel
Duration: 27 Jun 201928 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11527 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019
CityBeer Sheva


  • Free Space Optics
  • Internet of Things
  • Quantum Key Distribution

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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