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Journal Article
Efficient hardware implementation and analysis of true random‐number generator based on beta source
- Authors
- Seongmo Park, Byoung Gun Choi, Taewook Kang, Kyunghwan Park, Youngsu Kwon, Jongbum Kim
- Issue Date
- 2020-08
- Citation
- ETRI Journal, v.42, no.4, pp.518-526
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- 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.
- KSP Keywords
- Beta source, Hardware implementation, Internet of Things applications, Pseudo-random, Real-time, True Random Number, Verilog RTL, artificial intelligence, internet of things(IoT), labeled data
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
