Abstract: We describe a new statistical test for pseudorandom number generators (PRNGs). Our test can find bias induced by dependencies among the Hamming weights of the outputs of a PRNG, even for PRNGs that pass state-of-the-art tests of the same kind from the literature, and in particular for generators based on F_2-linear transformations such as the dSFMT, xoroshiro128+, and WELL512.
Publication Year: 2021
Publication Date: 2021-08-30
Language: en
Type: preprint
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Cited By Count: 1
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