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Journal Article A Lightweight True Random Number Generator using Beta Radiation for IoT Applications
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Authors
Kyunghwan Park, Seongmo Park, Byoung Gun Choi, Taewook Kang, Jongbum Kim, Young-Hee Kim, Hong-Zhou Jin
Issue Date
2020-12
Citation
ETRI Journal, v.42, no.6, pp.951-964
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.2020-0119
Abstract
This paper presents a lightweight true random number generator (TRNG) using beta radiation that is useful for Internet of Things (IoT) security. In general, a random number generator (RNG) is required for all secure communication devices because random numbers are needed to generate encryption keys. Most RNGs are computer algorithms and use physical noise as their seed. However, it is difficult to obtain physical noise in small IoT devices. Since IoT security functions are required in almost all countries, IoT devices must be equipped with security algorithms that can pass the cryptographic module validation programs of each country. In this regard, it is very cumbersome to embed security algorithms, random number generation algorithms, and even physical noise sources in small IoT devices. Therefore, this paper introduces a lightweight TRNG comprising a thin-film beta-radiation source and integrated circuits (ICs). Although the ICs are currently being designed, the IC design was functionally verified at the board level. Our random numbers are output from a verification board and tested according to National Institute of Standards and Technology standards.
KSP Keywords
Beta-radiation, Communication device, Computer algorithms, Cryptographic module, IC design, IOT applications, Integrated circuit, Internet of Things (IoT) security, Internet of thing(IoT), IoT Devices, National Institute of Standards and Technology