Statistical testing of random number generators and their improvement using randomness extraction

ePrint Report: Statistical testing of random number generators and their improvement using randomness extraction

Cameron Foreman, Richie Yeung, Florian J. Curchod

Random number generators (RNGs) are notoriously hard to build and test, especially in a cryptographic setting. Although one cannot conclusively determine the quality of an RNG by testing the statistical properties of its output alone, running numerical tests is both a powerful verification tool and the only universally applicable method. In this work, we present and make available a …

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