Abstract
This paper depicts simple cellular automata (CAs) as potential pseudo-random number generators (PRNGs). It introduces a technique to represent CAs as first degree equation identified by some tuples. Some 3-neighborhood 10-state CAs, identified by 6 tuples, are selected following greedy criteria. Concept of window is used to extract a number from each configuration. We observe that, our scheme of choosing the CAs has potentiality to beat all other existing PRNGs.
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Acknowledgements
The author is grateful to Prof. Sukanta Das for his support, comments, guidance and encouragement to do this work.
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Bhattacharjee, K. (2022). First Degree Cellular Automata as Pseudo-Random Number Generators. In: Das, S., Martinez, G.J. (eds) Proceedings of First Asian Symposium on Cellular Automata Technology. ASCAT 2022. Advances in Intelligent Systems and Computing, vol 1425. Springer, Singapore. https://doi.org/10.1007/978-981-19-0542-1_10
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DOI: https://doi.org/10.1007/978-981-19-0542-1_10
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