Generation of Fuzzy-Chaotic Behavior in Secure Communication System


Babanli K.

11th International Conference on Theory and Applications Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW 2021, Antalya, Turkey, 23 - 24 August 2021, vol.362 LNNS, pp.401-411, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 362 LNNS
  • Doi Number: 10.1007/978-3-030-92127-9_55
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.401-411
  • Keywords: Chaotic behavior, Fuzzy differential equation, Fuzzy numbers, Fuzzy sets, Lorenz system, Secure communication
  • Istanbul Gelisim University Affiliated: No

Abstract

In this paper, we propose a new approach to generation of chaotic masking signal which has a higher level of security compared to traditional masking methods. An originality of the approach is conditioned by its relatively low computational complexity due to the use of fuzzy rule base instead of intensive simulations of a fuzzy chaotic system. Due to efficiency and accuracy requirements, we use combination of fuzzy logic and chaos theories to model uncertainty and complexity of real complex secure communication system. Complexity of this hybrid fuzzy-chaotic approach assures an increased level of security. Trade-off between complexity and security may be achieved by generation of transmitted information using fuzzy modeling of specific desired chaotic behavior. Computer simulations are provided to verify feasibility and effectiveness of the proposed approach.