Shape Synchronization in Driver-Response of 4-D Chaotic System and Its Application in Image Encryption

Huang, Yuanyuan; Huang, Liangbin; Wang, Yinhe; Peng, Yuxu; Yu, Fei

doi:10.1109/access.2020.3011524

Cited by 26 publications

(16 citation statements)

References 87 publications

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“…Theorem 1: Let the master and slave chaotic systems be defined as (6) and (8). As well, the external disturbances are estimated by (19) and the PI sliding surfaces are defined as (23). Then, the sliding surface as well as synchronization error between master and slave systems are bounded using the robust controller (26) based on the nonlinear disturbance observer.…”

Section: B Design Of a Disturbance Observer-based Semi-glogally Robumentioning

confidence: 99%

“…Therefore, the chaos phenomenon should be avoided or completely suppressed in practice [6][7][8][9]. In the past two decades, chaos synchronization has generated important interests in applied fields such as secure communication [10,11], electronic circuits [12], optical chaotic communication [13], chaotic CO2 lasers [14], chaotic finance system [15], a periodically intermittent control [16], partial discharge in power cables [17], cryptosystems [18] and image encryption [19]. As a result, various control techniques have been proposed for the synchronization of chaotic systems [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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A Disturbance-Observer-Based Sliding Mode Control for the Robust Synchronization of Uncertain Delayed Chaotic Systems: Application to Data Security

et al. 2021

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This paper proposes a disturbance observer-based Sliding Mode Control (SMC) approach for the robust synchronization of uncertain delayed chaotic systems. This is done by, first, examining and analyzing the electronic behavior of the master and slave Sprott chaotic systems. Then, synthesizing a robust sliding mode control technique using a newly proposed sliding surface that encompasses the synchronization error between the master and slave. The external disturbances affecting the system were estimated using a disturbance observer. The proof of the semi-globally bounded synchronization between the master and slave was established using the Lyapunov stability theory. The efficiency of the proposed approach was first assessed using a simulation study, then, experimentally validated on a data security system. The obtained results confirmed the robust synchronization properties of the proposed approach in the presence of timedelays and external disturbances. The experimental validation also confirmed its ability to ensure the secure transfer of data. INDEX TERMS Sliding mode control; robust synchronization control; chaotic systems; disturbance observer; data security.

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Section: B Design Of a Disturbance Observer-based Semi-glogally Robumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Disturbance-Observer-Based Sliding Mode Control for the Robust Synchronization of Uncertain Delayed Chaotic Systems: Application to Data Security

et al. 2021

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“…Image encryption is an important research direction in chaotic secure communication. At present, there are some image encryption algorithms based on chaotic system [21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Such as Yang et al [35,36] designed image encryption algorithm by using fractional-order chaotic system.…”

Section: Introductionmentioning

confidence: 99%

An Image Encryption Algorithm Based on a New Memristor Chaotic System and DNA Variation

Zhang

Yang

et al. 2021

Preprint

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In this paper, a new memristor chaotic system is designed based on Chua’s memristor chaotic system. To get the complete picture of the brain of a three-dimensional chaotic attractor, red and blue 3D glasses is used to observe the chaotic attractor, and using Lyapunov exponent spectrum, SE complexity and C0 complexity to analyze dynamical characteristics of new memristor chaotic system. The results illustrate that the chaotic state of the new memristor chaotic system is distributed over a large parameter range, which shows that the new memristor chaotic system is more suitable for image encryption applications. To verify the image encryption application of the new memristor chaotic system, a novel image encryption algorithm is designed based on the new memristor chaotic system and DNA variation. The security performances of the designed algorithm indicate that the proposed algorithm can effectively encrypt image and has better security performance.

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“…Yu et al [12] designed a 5D hyperchaotic system to coexist multiple attractors, and used the system to generate random numbers for image encryption. Huang et al designed the shape synchronization and image encryption of 4D chaotic system [13]. Wang et With the application of deep learning, it is of great significance to extract information in remote sensing images using deep neural networks.…”

Section: Introductionmentioning

confidence: 99%

Woodland Labeling in Chenzhou, China, via Deep Learning Approach

Wang¹,

Yang²,

Li³

et al. 2020

IJCIS

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In order to complete the task of the woodland census in Chenzhou, China, this paper carries out a remote sensing survey on the terrain of this area to produce a data set, and used deep learning methods to label the woodland. There are two main improvements in our paper: Firstly, this paper comparatively analyzes the semantic segmentation effects of different deep learning models on remote sensing image datasets in Chenzhou. Secondly, this paper proposed a dense fully convolutional network (DFCN) which combines dense network with FCN model and achieves good semantic segmentation effect. DFCN method is used to label the woodland in Gaofen-2 (GF-2) remote sensing images in Chenzhou. Under the same experimental conditions, the labeling results are compared with the original FCN, SegNet, dilated convolutional network, and so on. In these experiments, the global pixel accuracy of DFCN is 91.5%, and the prediction accuracy of the "woodland" class is 93%, both of them perform better than that of the other methods. In other indicators, our method also has better performance. Using the method of this paper, we have completed the land feature labeling of Chenzhou area and provided it to customers.

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Shape Synchronization in Driver-Response of 4-D Chaotic System and Its Application in Image Encryption

Cited by 26 publications

References 87 publications

A Disturbance-Observer-Based Sliding Mode Control for the Robust Synchronization of Uncertain Delayed Chaotic Systems: Application to Data Security

A Disturbance-Observer-Based Sliding Mode Control for the Robust Synchronization of Uncertain Delayed Chaotic Systems: Application to Data Security

An Image Encryption Algorithm Based on a New Memristor Chaotic System and DNA Variation

Woodland Labeling in Chenzhou, China, via Deep Learning Approach

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