Fuzzy modeling of desired chaotic behavior in secure communication systems

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.

Automated summary

This paper investigates the use of a hybrid approach combining fuzzy logic and chaos theory to model the uncertainty and complexity of a secure communication system. The approach involves constructing a fuzzy rule base to describe the behavior of the chaotic system, resulting in lower computational complexity and increased security.