Approach for High-Performance Random Number Generators for Critical Systems

Pascal Hammer; Veronika Krause; Tobias Probst; Jürgen Mottok

Paper 2024/1341

Approach for High-Performance Random Number Generators for Critical Systems

Pascal Hammer, OTH Regensburg

Veronika Krause, OTH Regensburg

Tobias Probst, OTH Regensburg

Jürgen Mottok, OTH Regensburg

Abstract

In times of digitalization, the encryption and signing of sensitive data is becoming increasingly important. These cryptographic processes require large quantities of high-quality random numbers. Which is why a high-performance random number generator (RNG) is to be developed. For this purpose, existing concepts of RNGs and application standards are first analyzed. The proposed approach is to design a physical true random number generator (PTRNG) with a high output of random numbers. Based on this, the development begins with the analog part of the RNG, the noise signal source and a suitable amplifier for the analog noise signal. Therefore, a special noise diode from Noisecom and an amplifier from NXP were chosen and analyzed in different measurements. From the results of the measurements, it can be concluded that both components are suitable for use in the RNG.

Metadata

Available format(s): PDF
Category: Implementation
Publication info: Published elsewhere. ERTS2024
Keywords: RNG Random Number Generation Noise Source Random Processes Cryptography Random Sequences
Contact author(s): pascal hammer @ oth-regensburg de
veronika1 krause @ oth-regensburg de
tobias probst @ oth-regensburg de
juergen mottok @ oth-regensburg de
History: 2024-08-30: approved; 2024-08-27: received; See all versions
Short URL: https://ia.cr/2024/1341
License: CC0

BibTeX

@misc{cryptoeprint:2024/1341,
      author = {Pascal Hammer and Veronika Krause and Tobias Probst and Jürgen Mottok},
      title = {Approach for High-Performance Random Number Generators for Critical Systems},
      howpublished = {Cryptology {ePrint} Archive, Paper 2024/1341},
      year = {2024},
      url = {https://eprint.iacr.org/2024/1341}
}