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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 626408, 14 pages
Research Article

New Statistical Randomness Tests Based on Length of Runs

1Institute of Applied Mathematics, Middle East Technical University, 06800 Ankara, Turkey
2Mathematics Department, Atılım University, 06836 Ankara, Turkey

Received 27 September 2014; Accepted 17 March 2015

Academic Editor: Anna Vila

Copyright © 2015 Ali Doğanaksoy et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Random sequences and random numbers constitute a necessary part of cryptography. Many cryptographic protocols depend on random values. Randomness is measured by statistical tests and hence security evaluation of a cryptographic algorithm deeply depends on statistical randomness tests. In this work we focus on statistical distributions of runs of lengths one, two, and three. Using these distributions we state three new statistical randomness tests. New tests use distribution and, therefore, exact values of probabilities are needed. Probabilities associated runs of lengths one, two, and three are stated. Corresponding probabilities are divided into five subintervals of equal probabilities. Accordingly, three new statistical tests are defined and pseudocodes for these new statistical tests are given. New statistical tests are designed to detect the deviations in the number of runs of various lengths from a random sequence. Together with some other statistical tests, we analyse our tests’ results on outputs of well-known encryption algorithms and on binary expansions of , , and . Experimental results show the performance and sensitivity of our tests.