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Random Number Generator Using Sensors for Drone

Authors
Cho, Seong-MinHong, EungiSeo, Seung-Hyun
Issue Date
Feb-2020
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Drone; random number generator; sensors
Citation
IEEE ACCESS, v.8, pp 30343 - 30354
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
8
Start Page
30343
End Page
30354
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1865
DOI
10.1109/ACCESS.2020.2972958
ISSN
2169-3536
2169-3536
Abstract
In recent years, drones have been widely used in many areas such as farming, movie making, surveillance and delivery. So, there is a need to protect these drones against security attacks including hijacking, spying and theft of stored data through the utilization of security mechanisms. Cryptographic keys are needed to operate these security mechanisms, and they must be generated by using random number generators which create unpredictable and non-regenerable random numbers. However, existing random number generators used in drones are not tailored for drones specifically as they use random sources generated on a desktop, not a drone. Recently, random number generators utilizing sensors in mobile phones and IoT (Internet of Things) devices have been studied, but are not appropriate for drones. In this paper, considering that drone sensors must be applied to flight and stationary modes, we proposed a drone specific random number generator called DroneRNG and implemented it. Then, we showed that our DroneRNG passed all of the NIST randomization tests and possesses better statistical properties and unpredictability than random number generators that are currently used in drones.
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Seo, Seung-Hyun
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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