A Visual Analysis Method of Randomness for Classifying and Ranking Pseudo-random Number Generators
Inf. Sci., pp. 1-20, 2021.
Abstract The development of new pseudo-random number generators (PRNGs) has steadily increased over the years. Commonly, PRNGs’ randomness is “measured” by using statistical pass/fail suite tests, but the question remains, which PRNG is the best when compared to others. Existing randomness tests lack means for comparisons between PRNGs,...More
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