On the combination of self-organized systems to generate pseudo-random numbers
Information Sciences: an International Journal
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The random numbers are needed in variety of applications, yet finding good random number is a hard task. In this paper, a novel particle swarm cellular automata (PSCA) is proposed. Further, PSCA are applied in pseudorandom number generation. The produced random numbers pass all tests of diehard and Federal Information Processing Standards (FIPS) 140-2. The outputs have good performance in statistical tests. Randomness test results on our Pseudo Random Number Generators (PRNG) show that they are better than one-dimensional (1D) CA PRNGs and can be comparable to two-dimensional (2D) ones.