Synchronization of fuzzy-chaotic systems with Z-controller in secure communication
Saved in:
| Title: | Synchronization of fuzzy-chaotic systems with Z-controller in secure communication |
|---|---|
| Authors: | Babanli, Kanan M., Kabaoglu, Rana Ortac |
| Contributors: | İstanbul University Cerrahpaşa Institutional Repository |
| Source: | Information Sciences. 657:119988 |
| Publisher Information: | Elsevier BV, 2024. |
| Publication Year: | 2024 |
| Subject Terms: | Communication security, Transmitter, Lorentz system, Fuzzy number, Fuzzy Z-controller, Receiver |
| Description: | Soft Computing approaches may be effectively used for the aim to improve security of communication systems. Recently, we proposed a technique for fuzzy-chaotic masking signals generation. In this paper we developed this approach further. It is proposed a procedure for receiver and transmitter synchronization by using fuzzy chaotic systems (fuzzy Lorentz systems). The receiver system utilizes a fuzzy controller based on the use of Z-numbers in If-Then rules. The transmitter system is designed in form of a classical fuzzy system. The fuzzy controller is used to synchronize the fuzzy Lorentz system-based receiver and transmitter at a minimal error. |
| Document Type: | Article |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2023.119988 |
| Access URL: | https://hdl.handle.net/20.500.12831/18935 https://doi.org/10.1016/j.ins.2023.119988 |
| Rights: | Elsevier TDM |
| Accession Number: | edsair.doi.dedup.....4e559057b8a7ed230d83bfc562c4b19c |
| Database: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | Soft Computing approaches may be effectively used for the aim to improve security of communication systems. Recently, we proposed a technique for fuzzy-chaotic masking signals generation. In this paper we developed this approach further. It is proposed a procedure for receiver and transmitter synchronization by using fuzzy chaotic systems (fuzzy Lorentz systems). The receiver system utilizes a fuzzy controller based on the use of Z-numbers in If-Then rules. The transmitter system is designed in form of a classical fuzzy system. The fuzzy controller is used to synchronize the fuzzy Lorentz system-based receiver and transmitter at a minimal error. |
|---|---|
| ISSN: | 00200255 |
| DOI: | 10.1016/j.ins.2023.119988 |