A novel image encryption scheme based on an improper fractional-order chaotic system

Zhao, Jianfeng; Wang, Shuying; Chang, Yunlong; Li, Xianfeng

doi:10.1007/s11071-015-1911-x

Cited by 118 publications

(59 citation statements)

References 23 publications

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“…To enhance the security of images, both system parameters and derivative order were embedded in the scheme [25]. The 3D fractional-order Lorenz system and Chen chaotic systems were employed to encrypt images by Wu et al and Zhao et al, respectively [3,26]. Huang et al used a four-dimensional (4D) fractional-order hyperchaotic neural network system to cipher color images, and the experiments demonstrated the effectiveness of the system [27].…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Yang

et al. 2017

Complexity

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In the era of the Internet, image encryption plays an important role in information security. Chaotic systems and DNA operations have been proven to be powerful for image encryption. To further enhance the security of image, in this paper, we propose a novel algorithm that combines the fractional-order hyperchaotic Lorenz system and DNA computing (FOHCLDNA) for image encryption. Specifically, the algorithm consists of four parts: firstly, we use a fractional-order hyperchaotic Lorenz system to generate a pseudorandom sequence that will be utilized during the whole encryption process; secondly, a simple but effective diffusion scheme is performed to spread the little change in one pixel to all the other pixels; thirdly, the plain image is encoded by DNA rules and corresponding DNA operations are performed; finally, global permutation and 2D and 3D permutation are performed on pixels, bits, and acid bases. The extensive experimental results on eight publicly available testing images demonstrate that the encryption algorithm can achieve state-of-the-art performance in terms of security and robustness when compared with some existing methods, showing that the FOHCLDNA is promising for image encryption.

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Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Yang

et al. 2017

Complexity

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“…Higher entropy values in an image yield more randomness that makes the perception of artifacts more difficult [20]. The entropy H (m) in an image is determined as,…”

Section: Information Entropymentioning

confidence: 99%

“…In [14][15][16][17][18][19][20], we see numerous encryption applications pertaining to high-speed image processing systems.…”

Section: Introductionmentioning

confidence: 99%

A novel image encryption scheme based on multiple chaotic S-boxes

Khan

2015

Nonlinear Dyn

108

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In many encryption systems, the original data are transformed into encrypted version by applying nonlinear substitutions and inducing diffusion. The objective of the nonlinear transformation is to attain high levels of randomness in the cipher text. The choice of the source of randomness is critical because the success in cryptanalysis is demarked by the characteristics identified in the encrypted data. The chaotic systems show random behavior that is suitable for encryption applications where nonlinear transformations are required between plaintext and the encrypted data. The application of nonlinear functional chaos-based system with embedded chaotic system and multi-parameters can instigate randomness and diffusion in the data. In addition to high level of randomness, the need for multiple round keys is required in a typical substitutionpermutation process. The proposed method eliminates the need for multiple round keys, which is suitable for high-speed communication systems. The statistical experiments performed on the proposed nonlinear transformation algorithms show improvement in encryption strength and resistance against many brute force and statistical attacks. In addition, the proposed system shows high resistance against differential and linear cryptanalysis.

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“…Recently, the fractional-order chaotic systems in both continuous and discrete-time have attracted much attention in secure communications field [6], [15], [18], [11], [22]. However, the transmissions of secure digital images using only fractional-order chaotic in the continuous systems proprieties are widely used [19], [14], [16]. The interest of using the fractional-order chaotic systems in secure data transmission is to improve the security.…”

Section: Introductionmentioning

confidence: 99%

Robust Image Transmission Scheme Based on Coupled Fractional-Order Chaotic Maps

Megherbi¹,

Kassim²,

Hamiche³

et al. 2017

2017 Proceedings of the Conference on Control and Its Applications

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In this paper, we propose a novel image transmission scheme based on fractional-order discrete-time systems and on observers design. At the transmitter level, a grayscale original image is encrypted using chaotic signals generated from two different fractional-order chaotic systems. These signals should be available at the receiver level in order to recover this image at the reception end. This is why, two fractional-order observers are used to estimate the states of each fractional-order systems. In addition, in order to show the effectiveness of the proposed transmission system, simulation results will be illustrated and different analysis are given to illustrate and highlight the security and robustness of the proposed scheme.

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A novel image encryption scheme based on an improper fractional-order chaotic system

Cited by 118 publications

References 23 publications

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

A novel image encryption scheme based on multiple chaotic S-boxes

Robust Image Transmission Scheme Based on Coupled Fractional-Order Chaotic Maps

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