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

被引：45

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

页码：13684 / 13698

页数：15

共 46 条

[1] A novel approach for audio file encryption using hand geometry
Al-kateeb, Zeena N.
Mohammed, Saja J.
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (27-28) : 19615 - 19628
[2] Neural network-based synchronization of uncertain chaotic systems with unknown states
Bagheri, P.
Shahrokhi, M.
[J]. NEURAL COMPUTING & APPLICATIONS, 2016, 27 (04) : 945 - 952
[3] Synchronization of Chaotic System Using a Brain-Imitated Neural Network Controller and Its Applications for Secure Communications
Chih-Min Lin
Duc-Hung Pham
Tuan-Tu Huynh
[J]. IEEE ACCESS, 2021, 9 : 75923 - 75944
[4] Color Image Compression-Encryption Using Fractional-Order Hyperchaotic System and DNA Coding
Dong, Hao
Bai, Enjian
Jiang, Xue-Qin
Wu, Yun
[J]. IEEE ACCESS, 2020, 8 : 163524 - 163540
[5] Cryptanalysis of a plaintext-related chaotic RGB image encryption scheme using total plain image characteristics
Fan, Haiju
Li, Ming
Liu, Dong
An, Kang
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (15) : 20103 - 20127
[6] A novel method in audio message encryption based on a mixture of chaos function
Ghasemzadeh A.
Esmaeili E.
[J]. International Journal of Speech Technology, 2017, 20 (4) : 829 - 837
[7] Hsu CF, 2016, JOINT INT CONF SOFT, P811, DOI [10.1109/SCIS-ISIS.2016.0175, 10.1109/SCIS&ISIS.2016.67]
[8] Shape Synchronization in Driver-Response of 4-D Chaotic System and Its Application in Image Encryption
Huang, Yuanyuan
Huang, Longwang
Wang, Yinhe
Peng, Yuxu
Yu, Fei
[J]. IEEE ACCESS, 2020, 8 : 135308 - 135319
[9] Implementation of El-Gamal algorithm for speech signals encryption and decryption
Imran, Omar A.
Yousif, Sura F.
Hameed, Isam Salah
Abed, Wisam Najm Al-Din
Hammid, Ali Thaeer
[J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE, 2020, 167 : 1028 - 1037
[10] Realizing Two-View TSK Fuzzy Classification System by Using Collaborative Learning
Jiang, Yizhang
Deng, Zhaohong
Chung, Fu-Lai
Wang, Shitong
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (01): : 145 - 160

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