Efficient hardware implementation and analysis of true random‐number generator based on beta source

Autor: Seongmo Park, Byoung Gun Choi, Taewook Kang, Kyunghwan Park, Youngsu Kwon, Jongbum Kim
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: ETRI Journal, Vol 42, Iss 4, Pp 518-526 (2020)
Druh dokumentu: article
ISSN: 1225-6463
94638292
DOI: 10.4218/etrij.2020-0083
Popis: This paper presents an efficient hardware random‐number generator based on a beta source. The proposed generator counts the values of “0” and “1” and provides a method to distinguish between pseudo‐random and true random numbers by comparing them using simple cumulative operations. The random‐number generator produces labeled data indicating whether the count value is a pseudo‐ or true random number according to its bit value based on the generated labeling data. The proposed method is verified using a system based on Verilog RTL coding and LabVIEW for hardware implementation. The generated random numbers were tested according to the NIST SP 800‐22 and SP 800‐90B standards, and they satisfied the test items specified in the standard. Furthermore, the hardware is efficient and can be used for security, artificial intelligence, and Internet of Things applications in real time.
Databáze: Directory of Open Access Journals
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