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

HIGHLIGHTS

  • who: Conor Ryan from the Centre University of have published the research: Design of a cryptographically secure pseudo random number generator with grammatical evolution, in the Journal: Scientific Reports Scientific Reports
  • what: In this research work, the authors investigate GE as a potential entropy source to generate high entropy initial seed, as every evolutionary run is capable of producing a different seed. The authors propose a GE-based PRNG and GE-based CSPRNG, both of which can generate random sequences which adheres to meeting all standards of an excellent pseudo randomness. The BNF grammar proposed . . .

     

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