Abstract
In cryptography, random numbers are the most important element for security. Random numbers are generated through RNG (Random Number Generator), and collecting sufficient entropy sources is essential to generate random numbers. However, it is difficult to collect sufficient entropy sources due to limited resources in the IoT environment. In this paper, we have \(\alpha \)- and \(\beta \)-based radioactive decay noise sources to solve this problem, and generated entropy using proper entropy generation methods respectively. The result is as follows: \(\beta \)-based noise sources can generate entropy about 32 times faster than \(\alpha \)-based noise sources.
This research was financially supported by the Institute of Civil Military Technology Cooperation funded by the Defense Acquisition Program Administration and Ministry of Trade, Industry and Energy of Korean government under grant No. 21-CM-AU-09.
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References
Barker, E.B., Kelsey, J.M.: Recommendation for random bit generator (RBG) constructions. US Department of Commerce, National Institute of Standards and Technology (2012)
Bera, M.N., Acín, A., Kuś, M., Mitchell, M.W., Lewenstein, M.: Randomness in quantum mechanics: philosophy, physics and technology. Rep. Prog. Phys. 80(12), 124001 (2017)
Cho, S.M., Hong, E., Seo, S.H.: Random number generator using sensors for drone. IEEE Access 8, 30343–30354 (2020)
Herrero-Collantes, M., Garcia-Escartin, J.C.: Quantum random number generators. Rev. Mod. Phys. 89(1), 015004 (2017)
ISO/IEC18031: Information technology - security techniques- random bit generation. International Organization for Standardization and International Electrotechnical Commission (2011)
ITU: Quantum noise random number generator architecture. ITU-T Rec X.1702 (2019)
Park, H.: A study on the security evaluation for cryptographically secure random number generators. Kookmin University, pp. 1–162 (2021)
Park, J., Cho, S., Lim, T., Tehranipoor, M.: QEC: a quantum entropy chip and its applications. IEEE Trans. Very Large Scale Integr. (VLSI) Systems 28(6), 1471–1484 (2020)
Park, K., et al.: A lightweight true random number generator using beta radiation for IoT applications. ETRI J. 42(6), 951–964 (2020)
Rohe, M., et al.: Randy-a true-random generator based on radioactive decay. Saarland University, pp. 1–36 (2003)
TTA: Guideline for the collection and application of noise sources on operating systems. TTAK.KO-12.0235/R2 (2020)
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Kim, T., Lee, S., Yun, S., Kim, J., Yi, O. (2023). Analysis of Radioactive Decay Based Entropy Generator in the IoT Environments. In: You, I., Youn, TY. (eds) Information Security Applications. WISA 2022. Lecture Notes in Computer Science, vol 13720. Springer, Cham. https://doi.org/10.1007/978-3-031-25659-2_20
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DOI: https://doi.org/10.1007/978-3-031-25659-2_20
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