Open AccessDesign of a Hybrid Programmable 2-D Cellular Automata Based Pseudo Random Number Generator
Author(s) -
D. P.,
G R Poornima,
B. Paramasivan
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9983.038620
Subject(s) - pseudorandom number generator , randomness , cellular automaton , random number generation , computer science , algorithm , chaotic , generator (circuit theory) , random seed , automaton , theoretical computer science , discrete mathematics , mathematics , statistics , artificial intelligence , power (physics) , physics , quantum mechanics
This paper proposes a hybrid programmable two-dimensional Cellular Automata (CA) based pseudo-random number generator which includes a newly designed rule set. The properties and evolution of one and two dimensional CA are revisited. The various metrics for evaluating CA as a Pseudo-Random Number Generator (PRNG) are discussed. It is proved that the randomness is high irrespective of the initial seed by applying this newly designed rule set. The PRNG is tested against a popular statistical test called Diehard test suite and the results show that the PRNG is highly random. The chaotic measures like entropy, hamming distance and cycle length have been measured