Checking the Soundness of Statistical Tests for Random Number Generators by Using a Three-Level Test

10/16/2017
by   Hiroshi Haramoto, et al.
0

Statistical tests of pseudorandom number generators (PRNGs) are applicable to any type of random number generators and are indispensable for evaluation. While several practical packages for statistical tests of randomness exist, they may suffer from a lack of reliability. Although mathematically justifying such tests is necessary, doing so generally requires an enormous amount of effort. Therefore, we propose an experimental method for revealing defects in statistical tests by using a three-level test. In particular, we investigate the NIST test suite and the test batteries in TestU01, which are widely used statistical packages. Furthermore, we show the efficiency of several modifications of unsound tests in these test suites.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/14/2021

Calibrating random number generator tests

Currently, statistical tests for random number generators (RNGs) are wid...
research
01/30/2020

The time-adaptive statistical testing for random number generators

The problem of constructing effective statistical tests for random numbe...
research
03/23/2019

On testing pseudorandom generators via statistical tests based on the arcsine law

Testing the quality of pseudorandom number generators is an important is...
research
08/25/2022

A universal whitening algorithm for commercial random number generators

Random number generators are imperfect due to manufacturing bias and tec...
research
12/13/2019

On asymptotically optimal tests for random number generators

The problem of constructing effective statistical tests for random numbe...
research
08/30/2021

A New Test for Hamming-Weight Dependencies

We describe a new statistical test for pseudorandom number generators (P...
research
04/10/2019

Tea: A High-level Language and Runtime System for Automating Statistical Analysis

Though statistical analyses are centered on research questions and hypot...

Please sign up or login with your details

Forgot password? Click here to reset