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Mutual correlation of NIST statistical randomness tests and comparison of their sensitivities on transformed sequences
Date
2017-01-01
Author
Doğanaksoy, Ali
Uğuz, Muhiddin
Akcengiz, Ziya
Metadata
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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
Journal
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
DOI
https://doi.org/10.3906/elk-1503-214
Collections
Department of Mathematics, Article
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A. Doğanaksoy, M. Uğuz, and Z. Akcengiz, “Mutual correlation of NIST statistical randomness tests and comparison of their sensitivities on transformed sequences,”
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
, pp. 655–665, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37587.