Fuzzy modeling of desired chaotic behavior in secure communication systems

Babanli K., Kabaoglu R. O.

INFORMATION SCIENCES, vol.594, pp.217-232, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 594
  • Publication Date: 2022
  • Doi Number: 10.1016/j.ins.2022.02.020
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Computer & Applied Sciences, INSPEC, Library, Information Science & Technology Abstracts (LISTA), Metadex, MLA - Modern Language Association Database, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.217-232
  • Keywords: Fuzzy numbers, Chaotic behavior, Lorenz system, Secure communication, Fuzzy differential equation, ADAPTIVE SYNCHRONIZATION, ENCRYPTION, SCHEME
  • Istanbul University Affiliated: No


Communication technologies play a key role in various fields. Hybrid Soft Computing approaches have significant potential for design and investigation of complex systems. In this paper, we use combination of fuzzy logic and chaos theory to model uncertainty and complexity of a secure communication system. Fuzzy rule base is used to describe dependence of behavior of a chaotic system on its parameters and initial conditions. The rule base is constructed by applying fuzzy clustering to a large data set. The approach is characterized by its relatively low computational complexity due to the use of fuzzy rule base instead of intensive simulations of a fuzzy chaotic 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 chaotic behavior. Computer simulations are used to verify feasibility and effectiveness of the proposed approach. (C) 2022 Elsevier Inc. All rights reserved.