TY  - JOUR
TI  - Software Psuedo Random Number Generators to Hardware True Random Number Generators : a transition in Data-Security 
AU  - Shreenabh Agrawal
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2019/04/30
PY  - 2019
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1952132
VL  - 5
IS  - 2
SP  - 558	
EP  - 563
AB  - <p><strong>Objective of research</strong>: 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 &ndash;Pseudo Random Number Generators versus TRNG- True Random Number Generators used for Cryptography.</p>
<p><strong>Experimental set up</strong>: 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.</p>
<p><strong>Statistical testing</strong>: 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.</p>
<p><strong>Results:</strong> The statistical analysis showed that the performance of TRNG was better than PRNG for both uniformity and randomness.</p>