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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agrawal, M., Kayal, N., & Saxena, N. (2004). Primes in p. Annals of Mathematics, 160, 781–793.
Goldwasser, S., & Kilian, J. (1986) Almost all primes can be quickly certified. In Proceedings of the eighteenth annual ACM symposium on Theory of Computing (pp. 316–329). New York: ACM Press.
Pomerance, C., Selfridge, J. L., & Wagstaff, Jr., S. S. (1980). The pseudoprimes to 25 ×109. Mathematics of Computation, 35, 1003–1026.
Rizzi, A. (1990). Some theorem on the sum modulo m of two independent random variables. Metron, 48, 149–160.
Scozzafava, P. (1991). Sum and difference modulo m between two independent random variables. Metron, 49, 495–511.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-03739-9_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03738-2
Online ISBN: 978-3-642-03739-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)