A Novel Hybrid Pseudo Random Number Generator – Switch Shift PRNG

Authors

  • Md Mahbubur Rahman Faculty of Computer Science and Engineering, Patuakhali Science and Technology University Patuakhali, Bangladesh
  • Md Atikqur Rahaman Faculty of Computer Science and Engineering, Patuakhali Science and Technology University, Patuakhali, Bangladesh
  • Chinmay Bepery Faculty of Computer Science and Engineering, Patuakhali Science and Technology University Patuakhali, Bangladesh
  • Hind Biswas Faculty of Computer Science and Engineering, Patuakhali Science and Technology University Patuakhali, Bangladesh

DOI:

https://doi.org/10.63110/idsa.v1i02.8

Keywords:

Pseudo Random Number Generator, Reseeding, Entropy, Kolmogorov-Smirnov, Chi-square, LCG, Hybrid PRNG

Abstract

Pseudo Random Number Generators (PRNGs) are good at generating number sequences that only look random but are in fact deterministic and periodic. Hybrid Pseudo Random Number Generators (HPRNGs) address some of these limitations by using time-based seeding with a modified Linear Congruential Generator (LCG). This approach improves upon the deterministic nature of the generator but fails to address the problem of periodicity and dependency on a single seed. This study addresses the deterministic nature and periodicity of PRNGs by proposing an improved HPRNG model, making it more suitable for various applications without losing significant performance. 

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Published

2025-06-24

Issue

Vol. 1 No. 02 (2025): Intelligent Data Science and Analytics

Section

Articles

How to Cite

A Novel Hybrid Pseudo Random Number Generator – Switch Shift PRNG. (2025). Intelligent Data Science and Analytics, 1(02), 09-18. https://doi.org/10.63110/idsa.v1i02.8