Affiliation:
1. Department of Mathematics
Abstract
Cryptographic parameters such as secret keys, should be chosen randomly and at the same time it should not be
so difficult to reproduced them when necessary. Because of this, pseudorandom bit (or number) generators take the role of true random generators. Outputs of pseudorandom generators, although they are produced through some deterministic process, should be random looking, that is not distinguishable from true random sequences. In other word they should not follow any pattern. In this paper we propose a new approach using graph theory, to determine when to expected a fixed pattern to appear in a random sequence for the fist time. Using these expected values and comparing them with the observed values a randomness test can be defined. In this work patters are traced through the sequence in an overlapping manner.
Reference17 articles.
1. [1]M. U˘guz, “Kirptografide rastgelelik,” in Siber G¨uvenlik ve Savunma: Blokzincir ve Kriptoloji, S¸ . Sa˘gıro˘glu and S. Akleylek, Eds. Nobel Akademik Yayıncılık E˘gitim Danıs¸manlık Tic. Ltd. S¸ ti, 2021, vol. 5, pp. 311–346.
2. [2] M. U˘guz, A. Do˘ganaksoy, F. Sulak, and O. Koc¸ak, “R-2 composition tests: a family of statistical randomness tests for a collection of binary sequences,” Cryptography and Communications, vol. 11, pp. 921–949, 2019.
3. [3] F. Sulak, “New statistical randomness tests: 4-bit template matching tests,” Turkish Journal of Mathematics, vol. 41, no. 1, pp. 80–95, 2017.
4. [4] P. M. Alcover, A. Guillam´on, and M. d. C. Ruiz, “A new randomness test for bit sequences,” Informatica, vol. 24, no. 3, pp. 339–356, 2013.
5. [5] K. Hamano and H. Yamamoto, “A randomness test based on tcodes,” in 2008 International Symposium on Information Theory and Its Applications. IEEE, 2008, pp. 1–6.