A Novel Color Image Encryption Algorithm Based on Hyperchaotic Maps and Mitochondrial DNA Sequences

Mohamed, Heba G.; Elkamchouchi, Dalia H.; Moussa, Karim H.

doi:10.3390/e22020158

Cited by 43 publications

(26 citation statements)

References 32 publications

(33 reference statements)

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“…A color image encryption schemes have a bit different scenario because, In color image encryption, one must have to encrypt all the three channels (R, G, B) of the color image. In [23], a color image encryption technique is proposed which utilizes the hybrid chaotic system. The author(s) uses the phenomenon of confusion for the encryption of each R, G, and B component of the image separately and then a mitochondrial DNA sequence is used to diffuse the confused components.…”

Section: Literature Reviewmentioning

confidence: 99%

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models

et al. 2021

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Section: Literature Reviewmentioning

confidence: 99%

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models

et al. 2021

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“…Table 12 has compared the correlation of the original Lena image with its different encrypted versions generated by different encryption algorithms. The proposed algorithm has given the better results as compared to the encryption algorithms reported in [21], [37], [50], [51], [55]- [58].…”

Section: ) Correlation Analysismentioning

confidence: 99%

Color Image Encryption Algorithm Based on Hyper-Chaos and DNA Computing

et al. 2020

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In this study, a novel technique using a hyper chaotic dynamical system and DNA computing has been designed with high plaintext sensitivity. In order to reduce cost, a selection procedure using tent map has been employed for generating different key streams from the same chaotic data obtained from the iterations of chaotic dynamical system. After separating the three channels from the input color image, they are both confused and diffused. First of all, these channels are diffused on a decimal level. Then they are permuted. Further, DNA encoding is performed upon these channels. Moreover, DNA level diffusion is performed to further increase the degree of randomness in the image. Lastly, the DNA encoded image is converted into decimal to get the final cipher image. Both the experimental results and security analysis strongly demonstrate the robustness of the proposed scheme. A comparison of the proposed scheme has also been made with other recently developed schemes to show that this scheme outperforms the others in terms of computational cost, time and memory efficiency. Additionally, with the large key space, the proposed scheme can resist any brute force, plaintext and statistical attacks, therefore it is a good fit for the real world applications of the image security.

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“…Since then, a large number of encryption algorithms base d on chaotic systems have been proposed. These algorithms v ariously employ one-time keys [16], bit-level scrambling [17 -18], pixel-level scrambling [19], deoxyribonucleic acid (DN A) rule encoding [20] [27] [28],DNA dynamic encoding [21] [2 5] [26], complex mathematical network models [22],S-box [2 3], block encryption [24], etc. These encryption algorithms m ainly perform two steps: image pixel position scrambling and image pixel value diffusion.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [26] presented a novel colour image encryption algorithm based on dynamic DNA encodin g and a chaotic system in which DNA encoding and diffusion are used to diffuse the image information. The authors of [27] [28] presented a hyperchaotic system combined with block e ncryption to realize image encryption.…”

Section: Introductionmentioning

confidence: 99%

A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks

Fang

Liu

2021

IEEE Access

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This paper proposes a novel chaotic block image encryption algorithm based on deep convolutional generative adversarial networks (DCGANs), quaternions, an improved Feistel network, and an overall scrambling and diffusion mechanism. First, a new hyperchaotic system is introduced and combined with DCGANs to generate a random sequence with better randomness and complexity as a key stream. This sequence is then combined with a quaternion and an improved Feistel network encryption of a colour plaintext image by utilizing the key block matrix to ultimately achieve overall scrambling and diffusion of the cipher image. Finally, the security of this algorithm is quantitatively and qualitatively analysed. The simulation results show that the proposed hyperchaotic system has a large key space and good random characteristics and that the new algorithm yields adequate security and can resist brute-force attacks and chosen-plaintext attacks. Therefore, this approach provides a new way to achieve secure transmission and protection of image information. INDEX TERMS Image encryption, chaotic system, deep convolutional generative adversarial networks.

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A Novel Color Image Encryption Algorithm Based on Hyperchaotic Maps and Mitochondrial DNA Sequences

Cited by 43 publications

References 32 publications

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models

Color Image Encryption Algorithm Based on Hyper-Chaos and DNA Computing

A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks

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