Image Encryption Scheme Based on Newly Designed Chaotic Map and Parallel DNA Coding

Zhu, Shenli; Deng, Xiaoheng; Zhang, Wendong; Zhu, Congxu

doi:10.3390/math11010231

Cited by 75 publications

(47 citation statements)

References 31 publications

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“…Compared with recent encryption algorithms [7,9] without compression, the complexity of proposed method is equal or better.…”

Section: Complexity Analysismentioning

confidence: 99%

“…P i is the linear expression of Boolean function f i (•), Q i is the linear expression of Boolean function g i (•). From linear representations of BNCD (6) and BCN (7), one has…”

Section: Lemma 1 [21]mentioning

confidence: 99%

“…Theorem 2. The BNCD (6) and the BCN (7) will be synchronized with a free sequence u(0), u(1), …, if and only if the following two conditions are satisfied.…”

Section: Lemma 1 [21]mentioning

confidence: 99%

“…In the last few years, because of multiple complexities like initial value sensitivity, pseudo-randomness and ergodicity [1][2][3], chaos has been a hot research field and has been applied in many aspects [4][5][6]. Especially, chaos signal can be utilized to mask the image information and is hard to identify in transmission, so it is widely applied in image encryption and transmission [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem

Yan,

Zhang,

Zhang

et al. 2023

IET Image Processing

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This paper proposes a Boolean network model with high dimensional chaos driving and investigates the synchronization of the chaos‐driven Boolean network with a semi‐tensor product. In order to protect the privacy and ensure the security of image transmission, the synchronization results are utilized in the image cryptosystem to achieve compression and encryption. First, the driving chaos system is coupled with multiple local systems and synchronized with the transmitted encrypted signals. Second, the Boolean network is driven and synchronized with derived chaos signals. Finally, images are encrypted and compressed with chaos‐driven Boolean network signals in the transmitter, and then decrypted and recovered with synchronized chaos and Boolean network signals in the recipient. Because of the complexities of high dimensional chaos and Boolean network, the proposed cryptosystem has good security in the secure communication and image process.

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“…Compared with recent encryption algorithms [7,9] without compression, the complexity of proposed method is equal or better.…”

Section: Complexity Analysismentioning

confidence: 99%

“…P i is the linear expression of Boolean function f i (•), Q i is the linear expression of Boolean function g i (•). From linear representations of BNCD (6) and BCN (7), one has…”

Section: Lemma 1 [21]mentioning

confidence: 99%

“…Theorem 2. The BNCD (6) and the BCN (7) will be synchronized with a free sequence u(0), u(1), …, if and only if the following two conditions are satisfied.…”

Section: Lemma 1 [21]mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem

Yan,

Zhang,

Zhang

et al. 2023

IET Image Processing

View full text Add to dashboard Cite

show abstract

“…The progress mainly consists of two paths. The first path focuses on studying novel chaotic systems and applying them in image encryption [29][30][31][32]. For instance, Duan et al studied the chaotic properties of memristors and applied them to image encryption [33,34].…”

Section: Introductionmentioning

confidence: 99%

A novel image encryption scheme based on ccnn

Zhang,

Sun,

Geng

et al. 2024

Phys. Scr.

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With the advancement of computational capacity, the key space will become one of the crucial factors influencing the security of digital cryptographic systems. Despite chaotic-based digital cryptographic systems possessing large key spaces, the post-Moore's era rapid growth in computational capacity continues to pose challenges to the security of chaotic-based cryptographic systems. To address this issue, a novel image encryption scheme based on non-autonomous chaotic system is presented in this paper. In particular, a brain inspired neuron called continuous-coupled neural network (CCNN) is utilized to design image encryption scheme. To achieve the efficient image encryption scheme, firstly, the CCNN model is simplified to uncoupled-linking neuron model. The dynamic behavior under various driving signals is studied. The analysis showed that uncoupled-linking CCNN neuron exhibit various dynamic behavior under sine waves, triangular waves, sawtooth, superimposed sine waves, etc. Secondly, the decorrelation operation method is utilized to enhance the pseudo-randomness of the sequence. On this basis, thirdly, the image encryption scheme is proposed. It uses bit-level pixel scrambling, row scrambling, column scrambling and diffusion to modify the pixel value and the pixel position of the image. Security analysis shows that the proposed scheme is able to resist differential attack, statistics attack, known-plaintext attack and brute force attack. Moreover, the key space of the proposed scheme can be extended by the combination of drive signals. This unique feature makes the key space of the proposed scheme to be infinite, leading this kind of chaos-based cryptographic system to be a competitive candidate in post-Moore's era.

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Chaos and DNA coding technique for image cryptography

Pradhan,

Dawadi,

Chaulagain

et al. 2023

Security and Privacy

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In today's cybersphere, cryptography plays a vital role in various fields. Image encryption is an integral part for securing information because of its vast application areas such as military (defense), multimedia, healthcare and so forth. In this article, an image encryption algorithm for both grayscale and color image is proposed based on Tangential Delay‐Ellipse Reflecting Curve System (TD‐ERCS) chaotic map system and deoxyribonucleic acid (DNA) coding. Chaotic map is used to scramble the pixel positions; to achieve confusion and for creation of mask image, and DNA coding is used for changing the pixel values; to achieve diffusion. Upon experimental analysis, proposed work achieved significantly high mean square error and low peak signal to noise ratio, almost zero correlation, high number of pixel change rate and unified averaged changed intensity values, and resistance to noise and data loss attacks. In addition, the decryption is possible without loss in quality of image.

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Image Encryption Scheme Based on Newly Designed Chaotic Map and Parallel DNA Coding

Cited by 75 publications

References 31 publications

Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem

Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem

A novel image encryption scheme based on ccnn

Chaos and DNA coding technique for image cryptography

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