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Statistical Methods for Cryptography

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Data Analysis and Classification
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Abstract

In this note, after recalling certain results regarding prime numbers, we will present the following theorem of interest to cryptography: Let two discrete s.v.’s (statistical variable) X, Y assume the value: 0, 1, 2, , m − 1. Let X be uniformly distributed, that is, it assumes the value \(i(i = 0,1,\ldots ,m - 1)\) with probability 1 ∕ m and let the second s.v. Y assume the value i with probability \(({p}_{i}\,:\,\sum\limits_{i=1}^{m-1}{p}_{i} =\ 1,{p}_{i}\,\geq \,0)\). If the s.v. \(Z = X + Y\) (mod m) is uniformly distributed and m is a prime number, at least one of the two s. v. X and Y is uniformly distributed.

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Correspondence to Alfredo Rizzi .

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© 2010 Springer-Verlag Berlin Heidelberg

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Rizzi, A. (2010). Statistical Methods for Cryptography. In: Palumbo, F., Lauro, C., Greenacre, M. (eds) Data Analysis and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03739-9_2

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