Encryption and Decryption of Audio Signal and Image Secure Communications Using Chaotic System Synchronization Control by TSK Fuzzy Brain Emotional Learning Controllers

被引：54
作者：
Lin, Chih-Min [1 ]
Pham, Duc-Hung [2 ,3 ]
Huynh, Tuan-Tu [2 ,4 ]
机构：
[1] Yuan Ze Univ, Dept Elect Engn, Taoyuan 32003, Taiwan
[2] Yuan Ze Univ, Dept Elect Engn, Taoyuan 32003, Taiwan
[3] Hung Yen Univ Technol & Educ, Fac Elect & Elect Engn, Hai Duong 17000, Vietnam
[4] Lac Hong Univ, Fac Mechatron & Elect, Bien Hoa 81000, Vietnam
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2022年 / 52卷 / 12期
关键词：
4-D hyperjerk memristive chaotic system; brain emotional learning control (BELC); cerebellar model articulation controller (CMAC); encryption and decryption secure communication; recurrent neural network; Takagi-Sugeno-Kang (TSK) fuzzy system; NEURAL-NETWORK; ALGORITHM; DESIGN; CMAC;
D O I：
10.1109/TCYB.2021.3134245
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, a new idea of chaos synchronization and chaos-based secure communication is developed. First, the chaotic master system is used as a transmitter in chaos-based secure communication, then a drive signal is constructed, and the information message is encrypted into the drive signal to form a transmitted signal for secure communication. Second, in the receiver, a recurrent Takagi-Sugeno-Kang (TSK) fuzzy brain emotional learning cerebellar model articulation controller (RTFBECAC) is developed to control the slave system to follow the master system in the transmitter. Third, after descripting the chaotic signal, the embedded information message can be recovered. Besides, the stability problem is analyzed in detail based on the stability theory. Finally, two simulation examples, including audio signal and image, are introduced to illustrate the effectiveness and the advantages of the proposed method.
引用
收藏
页码：13684 / 13698
页数：15
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