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This article is cited in 2 scientific papers (total in 2 papers)
Entropy as the quality characteristic of random sequences
A. M. Zubkov Steklov Mathematical Institute of Russian Academy of Sciences, Moscow
Abstract:
We discuss the meanings of the term “entropy” used in different fields (statistical physics, information theory, theory of dynamic systems) and application of this notion as characteristic of independence and uniformity of distributions of finite alphabet symbols. The main purpose is to use this example to show that the correct interpretation of results of statistical tests applications should include really used a priori hypotheses on probability models of analyzed sequences. An example of sequences having almost maximal possible entropy but unsatisfactory from the cryptographic viewpoint is given.
Key words:
entropy, uniformity of distributions, independence, interpretation of results of statistical tests.
Received 12.V.2021
Citation:
A. M. Zubkov, “Entropy as the quality characteristic of random sequences”, Mat. Vopr. Kriptogr., 12:3 (2021), 31–48
Linking options:
https://www.mathnet.ru/eng/mvk374https://doi.org/10.4213/mvk374 https://www.mathnet.ru/eng/mvk/v12/i3/p31
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