Mutual correlation of NIST statistical randomness tests and comparison of their sensitivities on transformed sequences

Date

2017-01-01

Author

Doğanaksoy, Ali
SULAK, FATİH
Uğuz, Muhiddin
Seker, Okan
Akcengiz, Ziya

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Random sequences are widely used in many cryptographic applications and hence their generation is one of the main research areas in cryptography. Statistical randomness tests are introduced to detect the weaknesses or nonrandom characteristics that a sequence under consideration may have. In the literature, there exist various statistical randomness tests and test suites, defined as a collection of tests. An efficient test suite should consist of a number of uncorrelated statistical tests each of which measures randomness from another point of view. `Being uncorrelated' is not a well-defined or well-understood concept in the literature. In this work, we apply Pearson's correlation test to measure the correlation between the tests.

Subject Keywords

Cryptography, Statistical randomness tests, Correlation, Transformations, NIST test suite

URI

https://hdl.handle.net/11511/37587

Collections

Department of Mathematics, Article