Image encryption process based on chaotic synchronization phenomena

Volos, Christos; Kyprianidis, I. Μ.; Stouboulos, I. N.

doi:10.1016/j.sigpro.2012.11.008

Cited by 235 publications

(83 citation statements)

References 28 publications

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“…where 1, 2, , PB are separately the red, green and blue components of the final cipher-image 2 C . The proposed image encryption algorithm is a symmetric cryptosystem, so the decryption procedure is similar to that of the encryption process in the reverse order.…”

Section: Advances In Engineering Research Volume 138mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In the past years, many encryption methods have been proposed, such as DES, IDEA and RSA etc. However, these traditional encryption schemes are unsuitable for the digital images, because some inherent features of the images such as bulk data capacity, and strong correlation among pixels and high computation complexity [1,2].Considering the desirable properties of extreme sensitivity to initial conditions and parameters, the close relationship between chaos and cryptography has been revealed [3]. The simple lowdimensional (LD) chaotic systems can be realized conveniently in engineering due to their simple structure, but they also have some drawbacks such as limited/discontinuous chaotic range, the nonuniform data distribution, and the vulnerability to low-computation-cost analysis using iteration and correlation functions [4].…”

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Double color images encryption based on DNA sequences and block permutation

Wang¹,

Wu²,

Liu³

2017

Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

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Abstract:In this paper, we propose a double color images encryption scheme based on Deoxyribonucleic Acid (DNA) sequence, chaotic system and block permutation. Mean Square Error (MSE) of the double images, LSS and 2D-LASM chaotic systems are firstly employed to generate the key streams. Then, divide the plain-images into equal blocks and scramble the blocks using the key streams. Next, encode the permuted images into the DNA matrices according to the DNA encoding rules and a DNA XOR operation is carried out on the DNA matrices. Finally, decode the encrypted the DNA matrices via the DNA decoding rules, and a pixel-level diffusion is further adopted to strengthen the security and sensitivity of the cryptosystem, and the resulting cipher-images are obtained. The experimental results show that the presented encryption algorithm has the advantages of large key space and high security, and fast encryption/decryption speed. IntroductionWith the rapid development of information and network technologies, a great many of digital multimedia data are transmitted over the public networks. It is necessary to protect the image information against the unauthorized access, usage, disruption and destruction. In the past years, many encryption methods have been proposed, such as DES, IDEA and RSA etc. However, these traditional encryption schemes are unsuitable for the digital images, because some inherent features of the images such as bulk data capacity, and strong correlation among pixels and high computation complexity [1,2].Considering the desirable properties of extreme sensitivity to initial conditions and parameters, the close relationship between chaos and cryptography has been revealed [3]. The simple lowdimensional (LD) chaotic systems can be realized conveniently in engineering due to their simple structure, but they also have some drawbacks such as limited/discontinuous chaotic range, the nonuniform data distribution, and the vulnerability to low-computation-cost analysis using iteration and correlation functions [4]. In contrast to the LD chaotic systems, the high-dimensional (HD) chaotic systems have complex structures and chaotic behaviors. Unfortunately, the complex structure and multiple parameters of the HD chaotic systems increase the cost of hardware/software implementations and the computation complexity [5]. Hence, considering the trade-offs between the security and speed, it is essential to design the image encryption algorithms based on the LD chaotic systems/maps with excellent performance.Since the pioneering work of Adleman [6], DNA computing has gained growing attention from many researchers in various fields such as biology, chemistry, mathematics, computer science etc. Recently, DNA-based image encryption has aroused great interest [7][8][9][10][11][12][13][14][15]. For example, Liu et al. [7] proposed a color image encryption algorithm based on DNA encoding and the Logistic map. But this cryptosystem is very weak to a chosen-plaintext attack [8]. An image fusion encryption scheme based on DNA sequen...

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Section: Advances In Engineering Research Volume 138mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Double color images encryption based on DNA sequences and block permutation

Wang¹,

Wu²,

Liu³

2017

Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

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show abstract

“…Chaos theory has applications in several fields of science and engineering such as oscillators [47,48,49,50,51,52,53,54,55], dynamos [56,57,58,59], Tokamak systems [60,61], chemical reactions [62,63,64,65,66,67,68,69,70,71], neural networks [72,73,74,75,76,77], neurology [78,79,80,81,82,83], biology [84,85,86,87,88,89,90,91,92], electrical circuits [93,94,95], induction motors [96], cryptosystems …”

Section: Introductionmentioning

confidence: 99%

A new 3-D jerk chaotic system with two cubic nonlinearities and its adaptive backstepping control

Vaidyanathan

2017

Archives of Control Sciences

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A new 3-D jerk chaotic system with two cubic nonlinearities and its adaptive backstepping control SUNDARAPANDIAN VAIDYANATHAN This paper presents a new seven-term 3-D jerk chaotic system with two cubic nonlinearities. The phase portraits of the novel jerk chaotic system are displayed and the qualitative properties of the jerk system are described. The novel jerk chaotic system has a unique equilibrium at the origin, which is a saddle-focus and unstable. The Lyapunov exponents of the novel jerk chaotic system are obtained as L 1 = 0.2974, L 2 = 0 and L 3 = −3.8974. Since the sum of the Lyapunov exponents of the jerk chaotic system is negative, we conclude that the chaotic system is dissipative. The Kaplan-Yorke dimension of the new jerk chaotic system is found as D KY = 2.0763. Next, an adaptive backstepping controller is designed to globally stabilize the new jerk chaotic system with unknown parameters. Moreover, an adaptive backstepping controller is also designed to achieve global chaos synchronization of the identical jerk chaotic systems with unknown parameters. The backstepping control method is a recursive procedure that links the choice of a Lyapunov function with the design of a controller and guarantees global asymptotic stability of strict feedback systems. MATLAB simulations are shown to illustrate all the main results derived in this work.

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“…Chaos theory has applications in several fields of science and engineering such as oscillators [39,40,41,42,43,44,45,46], dynamos [47,48,49,50], Tokamak systems [51,52], chemical reactions [53,54,55,56,57,58,59,60,61,62], neural networks [63,64,65,66,67,68], neurology [69,70,71,72,73,74], biology [75,76,77,78,79,80,81,82,83], electrical circuits [84,85,86], cryptosystems [87,88], memristors …”

Section: Introductionmentioning

confidence: 99%

A novel 3-D jerk chaotic system with three quadratic nonlinearities and its adaptive control

Vaidyanathan

2016

Archives of Control Sciences

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A novel 3-D jerk chaotic system with three quadratic nonlinearities and its adaptive control SUNDARAPANDIAN VAIDYANATHAN This paper announces an eight-term novel 3-D jerk chaotic system with three quadratic nonlinearities. The phase portraits of the novel jerk chaotic system are displayed and the qualitative properties of the jerk system are described. The novel jerk chaotic system has two equilibrium points, which are saddle-foci and unstable. The Lyapunov exponents of the novel jerk chaotic system are obtained as L 1 = 0.20572, L 2 = 0 and L 3 = −1.20824. Since the sum of the Lyapunov exponents of the jerk chaotic system is negative, we conclude that the chaotic system is dissipative. The Kaplan-Yorke dimension of the novel jerk chaotic system is derived as D KY = 2.17026. Next, an adaptive controller is designed via backstepping control method to globally stabilize the novel jerk chaotic system with unknown parameters. Moreover, an adaptive controller is also designed via backstepping control method to achieve global chaos synchronization of the identical jerk chaotic systems with unknown parameters. The backstepping control method is a recursive procedure that links the choice of a Lyapunov function with the design of a controller and guarantees global asymptotic stability of strict feedback systems. MATLAB simulations have been depicted to illustrate the phase portraits of the novel jerk chaotic system and also the adaptive backstepping control results.

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Image encryption process based on chaotic synchronization phenomena

Cited by 235 publications

References 28 publications

Double color images encryption based on DNA sequences and block permutation

Double color images encryption based on DNA sequences and block permutation

A new 3-D jerk chaotic system with two cubic nonlinearities and its adaptive backstepping control

A novel 3-D jerk chaotic system with three quadratic nonlinearities and its adaptive control

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