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Analysis of a Cryptographically Secure Pseudo Random Number Generator
Conference proceeding

Analysis of a Cryptographically Secure Pseudo Random Number Generator

Benjamin Williams, Robert E. Hiromoto and Albert Carlson
2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Vol.1, pp.259-264
09/07/2023
DOI: https://doi.org/10.1109/IDAACS58523.2023.10348766

Abstract

cryptographically secure Data acquisition Focusing Generators Histograms Memory management permutations pseudorandom number generation Software algorithms Statistical analysis statistical testing
We present an analysis of a cryptographically secure pseudo random number generator (CSPRNG) that involves the permutation of the internal state of the PRNG. This CSPRNG was described in a previous publication. The cryptographic quality of the CSPRNG is examined using the Dieharder test software and comparisons are made against AES. An analysis of these tests results is presented, and a discussion of future work concludes the paper.

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