Best fit dna-based cryptographic keys: the genetic algorithm approach

HIGHLIGHTS

• who: Pratyusa Mukherjee and collaborators from the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneshwar, India have published the research: Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach, in the Journal: Sensors 2022, 22, of7332 keys, of /2022/
• what: The paper shows that out of an initial 25 u00d7 25 population of Keys 14 keys are rendered weak.
• how: This paper proposes a Genetic Algorithm inspired method to strengthen weak keys obtained from Random Key Generators instead of completely discarding them. This paper proposes . . .
  

   

  

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