Entropy (Apr 2020)

Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption

  • Lazaros Moysis,
  • Christos Volos,
  • Sajad Jafari,
  • Jesus M. Munoz-Pacheco,
  • Jacques Kengne,
  • Karthikeyan Rajagopal,
  • Ioannis Stouboulos

DOI
https://doi.org/10.3390/e22040474
Journal volume & issue
Vol. 22, no. 4
p. 474

Abstract

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A modification of the classic logistic map is proposed, using fuzzy triangular numbers. The resulting map is analysed through its Lyapunov exponent (LE) and bifurcation diagrams. It shows higher complexity compared to the classic logistic map and showcases phenomena, like antimonotonicity and crisis. The map is then applied to the problem of pseudo random bit generation, using a simple rule to generate the bit sequence. The resulting random bit generator (RBG) successfully passes the National Institute of Standards and Technology (NIST) statistical tests, and it is then successfully applied to the problem of image encryption.

Keywords