Our work presents a novel approach to creating new encryption algorithms. We were inspired by genetic algorithms based on the Darwin evolution theory. As the method of invention, we chose the crossover technique. We aim to create unique encryption algorithms that will be more secure, faster, and require less memory space or computational energy. New encryption algorithms are based on the most commonly used encryption techniques. During the crossover process, we consider the most critical metrics for encryption algorithms. We also briefly described the crossover and mutation process. The developed method is in the state of design. The design presented in this article is in the form of a flowchart diagram and detailed decryption. We plan to implement it and test it.

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New Approach to Crossover of Encryption Algorithms

  • Peter Pekarčik,
  • Eva Chovancová,
  • Martin Chovanec,
  • Tatiana Kuchčáková

摘要

Our work presents a novel approach to creating new encryption algorithms. We were inspired by genetic algorithms based on the Darwin evolution theory. As the method of invention, we chose the crossover technique. We aim to create unique encryption algorithms that will be more secure, faster, and require less memory space or computational energy. New encryption algorithms are based on the most commonly used encryption techniques. During the crossover process, we consider the most critical metrics for encryption algorithms. We also briefly described the crossover and mutation process. The developed method is in the state of design. The design presented in this article is in the form of a flowchart diagram and detailed decryption. We plan to implement it and test it.