Design of a cryptographically secure pseudo random number generator with grammatical evolution

This work investigates the potential for using Grammatical Evolution (GE) to generate an initial seed for the construction of a pseudo-random number generator (PRNG) and cryptographically secure (CS) PRNG. We demonstrate the suitability of GE as an entropy source and show that the initial seeds exhi...

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Detalles Bibliográficos
Autores principales: Ryan, Conor, Kshirsagar, Meghana, Vaidya, Gauri, Cunningham, Andrew, Sivaraman, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124193/
https://www.ncbi.nlm.nih.gov/pubmed/35597791
http://dx.doi.org/10.1038/s41598-022-11613-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124193/
https://www.ncbi.nlm.nih.gov/pubmed/35597791
http://dx.doi.org/10.1038/s41598-022-11613-x

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