TY - GEN
T1 - Muon-Ra
T2 - 26th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2020
AU - Gamil, Homer
AU - Mehta, Pranav
AU - Chielle, Eduardo
AU - Giovanni, Adriano Di
AU - Nabeel, Mohammed
AU - Arneodo, Francesco
AU - Maniatakos, Michail
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - True Random Number Generators (TRNGs) are the cornerstone of modern cryptographic applications. In this work, we present the first quantum1 random number generator based on muon detection. The proposed implementation utilizes silicon photomultipliers and plastic scintillators to convert the time interval between crossing muons to random bits. Compared to the state-of-the-art, this design operates using a passive entropy source, scaling down its power consumption significantly. Additionally, the proposed muon-based TRNG can be fully integrated in modern computer hardware, making it suitable for low-power embedded device applications. We evaluate the proposal on its throughput and ability to pass standard randomness tests. Our method is successful in passing the NIST STS SP 800-22 and Dieharder evaluations. Finally, the implementation is compared to other well-established methods of generating random numbers.1We use the term 'quantum' to denote the utilization of elementary particles as the output generation source, and not necessarily their properties, similar to related work [1], [2].
AB - True Random Number Generators (TRNGs) are the cornerstone of modern cryptographic applications. In this work, we present the first quantum1 random number generator based on muon detection. The proposed implementation utilizes silicon photomultipliers and plastic scintillators to convert the time interval between crossing muons to random bits. Compared to the state-of-the-art, this design operates using a passive entropy source, scaling down its power consumption significantly. Additionally, the proposed muon-based TRNG can be fully integrated in modern computer hardware, making it suitable for low-power embedded device applications. We evaluate the proposal on its throughput and ability to pass standard randomness tests. Our method is successful in passing the NIST STS SP 800-22 and Dieharder evaluations. Finally, the implementation is compared to other well-established methods of generating random numbers.1We use the term 'quantum' to denote the utilization of elementary particles as the output generation source, and not necessarily their properties, similar to related work [1], [2].
KW - Cosmic Ray Detector
KW - Muon decay
KW - True Random Number Generator
UR - http://www.scopus.com/inward/record.url?scp=85091577959&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091577959&partnerID=8YFLogxK
U2 - 10.1109/IOLTS50870.2020.9159728
DO - 10.1109/IOLTS50870.2020.9159728
M3 - Conference contribution
AN - SCOPUS:85091577959
T3 - Proceedings - 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2020
BT - Proceedings - 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 July 2020 through 16 July 2020
ER -