Hardware implementation of pseudo-random number generators based on chaotic maps

Author:

de la Fraga Luis GerardoORCID,Torres-Pérez Esteban,Tlelo-Cuautle Esteban,Mancillas-López Cuauhtemoc

Funder

Consejo Nacional de Ciencia y Tecnologıa

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering

Reference21 articles.

1. Jun, B., Kocher, P.: The Intel Random Number Generator. Cryptography Research Inc. white paper, San Francisco (1999)

2. Knuth, D.E.: The Art of Computer Programming Volume 2, Seminumerical Algorithms, 3rd edn. Addison Wesley, Boston (1998)

3. Rukhin, A., Soto, J., Nechvatal, J., Smid, M., Barker, E., Leigh, S., Levenson, M., Vangel, M., Banks, D., Heckert, A., Dray, J., Vo, S.: A statistical test suite for the validation of random number generators and pseudo random number generators for cryptographic applications, 27 April 2010. SP800-22rev1a.pdf file, last date checked: 18 Feb 2016. http://csrc.nist.gov/groups/ST/toolkit/rng/documentation_software.html

4. Valtierra, J.L., Tlelo-Cuautle, E., Rodríguez-Vázquez, Á.: A switched-capacitor skew-tent map implementation for random number generation. Int. J. Circuit Theory Appl. 45(2), 305–315 (2017)

5. Nejati, H., Beirami, A., Ali, W.H.: Discrete-time chaotic-map truly random number generators: design, implementation, and variability analysis of the zigzag map. Analog Integr. Circuits Signal Process. 73(1), 363–374 (2012)

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