Computer Science
4 years ago

New method uncovers hidden correlations in randomness tests, changing evaluation standards.

Entropy
Measuring Independence between Statistical Randomness Tests by Mutual Information
Jorge Augusto Karell-Albo, Carlos Miguel Legón-Pérez, Evaristo José Madarro-Capó, Omar Rojas, Guillermo Sosa-Gómez

Paper Summary

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The article shows how statistical randomness tests can be analyzed to see if they are related. By using mutual information, the researchers found connections between these tests that were not seen before. This method can help reduce the number of tests needed to check randomness. The tests used by the National Institute of Standards and Technology were studied, and the results revealed hidden dependencies between them.