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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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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