An image encryption algorithm based on compound homogeneous hyper-chaotic system

Zhu, Hegui; Zhang, Xiangde; Yu, Hai; Zhao, Cheng; Zhu, Zhiliang

doi:10.1007/s11071-017-3436-y

Cited by 80 publications

(54 citation statements)

References 45 publications

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“…So 3 Φ and 4 Φ are generated with 2 S . Equation (3) optimizes the matrix 1 Φ , 2 Φ , 3 Φ , and 4 Φ with the steepest descent method [14]. The…”

Section: Image Complex Chaotic Encryption Modelmentioning

confidence: 99%

Image encryption algorithm for torsional components of generator based on compound chaotic model

Shao

2020

THERM SCI

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Original scientific paper https://doi.org/10.2298/TSCI190717078SIn order to solve the problem that the image encryption algorithm cannot eliminate the strong correlation between adjacent pixels in the image, with poor ability to resist attack and low efficiency, an Image encryption algorithm for torsional components of generators based on complex chaotic model is proposed. Extracting the RGB torsional vibration component of the image for discrete cosine transform transformation, it is then rotated and fused to complete the initial encryption of the image information. In order to further enhance the security of image information, 2-D discrete cosine transform and 2-D compressed sensing measurement are applied to the initial encrypted image information. The real number matrix of measurement is merged into the complex value matrix, and the adaptive random phase coding is applied. The image information complex chaotic encryption model is constructed according to the coding result, so as to eliminate the strong correlation between the adjacent pixels. Particle swarm optimization is used to co-ordinate and optimize the parameters of the compound chaotic encryption model to improve the encryption performance of the model. Experimental results show that the pixel has low correlation, high security and strong ability to resist attacks after encrypting with this algorithm.

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“…So 3 Φ and 4 Φ are generated with 2 S . Equation (3) optimizes the matrix 1 Φ , 2 Φ , 3 Φ , and 4 Φ with the steepest descent method [14]. The…”

Section: Image Complex Chaotic Encryption Modelmentioning

confidence: 99%

Image encryption algorithm for torsional components of generator based on compound chaotic model

Shao

2020

THERM SCI

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“…ese solutions have enhanced the security of algorithms and were effective to some certain extent. With the further study of chaotic systems, more and more image encryption schemes based on higher-dimensional chaotic systems, especially for hyperchaos and spatiotemporal chaos, emerge gradually [13,[30][31][32]. Actually, most of these schemes have a high level of security, as opposed to a high implementation cost.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Novel Chaos-Based Image Encryption Algorithm via Switch Control Mechanism

Xiao

Deng

2020

Security and Communication Networks

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Chaos has been widely used in image encryption due to its rich properties. However, it remains an irreconcilable contradiction for security and implementation efficiency for image encryption schemes. In this paper, a novel chaos-based image encryption scheme has been proposed, where the Lorenz chaotic system is applied to generate pseudorandom sequences with good randomness, and a random switch control mechanism is introduced to ensure the security of the encryption scheme. Experimental results demonstrate the effectiveness and superiority of the algorithm.

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“…In a dynamical system, the Lyapunov exponent (LE) is a quantity that characterizes the rate of separation of infinitesimally close trajectories and estimates the chaos of the system [13], and if a chaotic system has two or more positive LEs, the system is defined to be hyperchaotic [14]. Recent research has demonstrated that image encryption algorithms associated with hyperchaotic systems show greater security [15][16][17][18][19][20][21][22][23]. Among the approaches, 4-6D hyperchaotic systems are widely used to enhance image encryption.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations

Xie

et al. 2019

Complexity

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As one of the most widely used media types, images play an important role in the era of the Internet. And hence how to enhance the security of images has become a hot topic in the field of information security. However, due to some intrinsic characteristics of images, image security is still a challenging task. For the purpose of coping with this issue, in this paper, we propose a novel algorithm that combines a hyperchaotic system, dynamic filtering, and bit cuboid operations, namely, DFBC, for image encryption. Specifically, the proposed DFBC consists of four steps: firstly, a 7D Lorenz hyperchaotic system is utilized to generate a pseudorandom sequence; secondly, variable 1D filters are derived from the pseudorandom sequence, and dynamic filtering is conducted on each pixel of an image; thirdly, a diffusion scheme is performed and then the image is transformed to a bit cuboid; and, finally, various types of permutation (rearranging, symmetry, rotation, zigzag, and global bit permutation) are performed on the bit cuboid. The experiments on several testing images demonstrate that the DFBC achieves state-of-the-art results in terms of several evaluation criteria, showing that the DFBC is promising for image encryption.

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An image encryption algorithm based on compound homogeneous hyper-chaotic system

Cited by 80 publications

References 45 publications

Image encryption algorithm for torsional components of generator based on compound chaotic model

Image encryption algorithm for torsional components of generator based on compound chaotic model

Design and Analysis of a Novel Chaos-Based Image Encryption Algorithm via Switch Control Mechanism

Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations

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