Software Psuedo Random Number Generators to Hardware True Random Number Generators : a transition in Data-Security

Authors

  • Shreenabh Agrawal  Class X A, The Chanda Devi Saraf School, Nagpur, Maharashtra, India

Keywords:

Randomness, PRNG, TRNG, Cryptography, Kolmogorov Smirnov Z test, Runs Test

Abstract

Objective of research: To understand the basic issues in data security during vital transactions related to money or critical data in e-business and to statistically test the efficiency of PRNG –Pseudo Random Number Generators versus TRNG- True Random Number Generators used for Cryptography.

Experimental set up: A prototype of TRNG was designed. The Schematic component architecture of the prototype, the number generation code and the C Inspired Algorithm have been presented. 5000 numbers were generated using it. Another set of 5000 numbers was generated using an online PRNG.

Statistical testing: The numbers thus generated were tested by Kolmogorov Smirnov Z test for uniformity and Runs Test for Median and Mean for randomness. The results were displayed in tabular format.

Results: The statistical analysis showed that the performance of TRNG was better than PRNG for both uniformity and randomness.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shreenabh Agrawal, " Software Psuedo Random Number Generators to Hardware True Random Number Generators : a transition in Data-Security " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.558-563, March-April-2019.