Image encryption based on a combination of multiple chaotic maps

Elkandoz, Marwa Tarek; Alexan, Wassim

doi:10.1007/s11042-022-12595-8

Cited by 94 publications

(33 citation statements)

References 53 publications

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“…Additionally, the approximate keyspace shown in Table 6 is higher than state-of-the-art encryption schemes. Ref [45] Ref [42] Ref [29] Ref [16] Proposed In future, we plan to transform the proposed scheme into an asymmetric image encryption scheme. Another interesting future direction could be to modify this scheme to work for video encryption.…”

Section: Comparison Of the Keyspacementioning

confidence: 99%

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

Ahmed

Rehman

Ahmad

et al. 2023

ACM Trans. Multimedia Comput. Commun. Appl.

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With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. Encrypting large-sized colour images in their original dimension generally results in low encryption/decryption speed along with exerting a burden on the limited bandwidth of the transmission channel. To address the aforementioned issues, a new encryption scheme for colour images employing convolutional autoencoder, DNA and chaos is presented in this paper. The proposed scheme has two main modules, the dimensionality conversion module using the proposed convolutional autoencoder, and the encryption/decryption module using DNA and chaos. The dimension of the input colour image is first reduced from N × M × 3 to P × Q gray-scale image using the encoder. Encryption and decryption are then performed in the reduced dimension space. The decrypted gray-scale image is upsampled to obtain the original colour image having dimension N × M × 3. The training and validation accuracy of the proposed autoencoder is 97% and 95%, respectively. Once the autoencoder is trained, it can be used to reduce and subsequently increase the dimension of any arbitrary input colour image. The efficacy of the designed autoencoder has been demonstrated by the successful reconstruction of the compressed image into the original colour image with negligible perceptual distortion. The second major contribution presented in this paper is an image encryption scheme using DNA along with multiple chaotic sequences and substitution boxes. The security of the proposed image encryption algorithm has been gauged using several evaluation parameters, such as histogram of the cipher image, entropy, NPCR, UACI, key sensitivity, contrast, etc. The experimental results of the proposed scheme demonstrate its effectiveness to perform colour image encryption.

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Section: Comparison Of the Keyspacementioning

confidence: 99%

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

Ahmed

Rehman

Ahmad

et al. 2023

ACM Trans. Multimedia Comput. Commun. Appl.

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“…To that end, scientists and engineers have been making use of various mathematical constructs and ideas inspired by nature to design secure and robust image encryption algorithms. Recent literature shows the employment of cellular automata (CA) [20][21][22], DNA coding [8,[23][24][25], electric circuits [26,27], as well as heavy reliance on dynamical functions of chaotic behavior [6,[28][29][30][31][32]. The following paragraph highlights the utilization of various such ideas in the development of pseudo-random number generators (PRNGs) to build encryption keys and substitution boxes (S-boxes).…”

Section: Of 42mentioning

confidence: 99%

“…These traits include periodicity, pseudo-randomness, sensitivity to initial values, and ergodicity [42]. Broadly, these functions are categorized as either low-dimensional (LD) or high-dimensional (HD), with each class having a set of exclusive advantages [6]. LD chaotic functions dramatically simplify software and hardware implementations, but their use in image cryptosystems could in some cases be insufficiently secure.…”

Section: Of 42mentioning

confidence: 99%

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A 3-Layer PSN for Image Encryption Utilizing Fractional-Order Chen Hyperchaotic Map and Cryptographically-Secure PRNGs

Alexan¹,

Alexan²,

Gabr³

2023

Preprint

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Image encryption is increasingly becoming an important area of research in information security and network communications, as digital images are widely used in various applications and are vulnerable to various types of attacks. In this research work, a color image cryptosystem that is based on a 3-layer permutation-substitution network (PSN) is proposed. For every layer, an encryption key and an S-box are generated and utilized. Those are based on a four-dimensional (4D) dynamical Chen system of a fractional-order, the Mersenne Twister, OpenSLL, Rule 30 Cellular Automata and Intel’s MKL. The sequential application of Shannon’s ideas of diffusion and confusion for 3 times guarantees a total distortion of any input plain image, resulting in a totally encrypted one. Apart from the excellent and comparable performance to counterpart algorithms from the literature, showcasing resistance to visual, statistical, entropy, differential, known plaintext and brute-force attacks, the proposed image cryptosystem provides an exceptionally superior performance in 2 aspects: a vast key space of 2^1658 and an average encryption rate of 3.34 Mbps. Furthermore, the proposed image cryptosystem is shown to successfully pass all the tests of the NIST SP 800 suite.

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“…T HE development of technology has facilitated the advancement of life quality [1]. High-tech electrical products are gradually becoming more prevalent in everyday life.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm Based on Hodgkin-Huxley Model and Latin Square for Image Encryption

Chen

Sun

et al. 2023

IEEE Access

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Image transmission is happening more frequently in this era of technologically sophisticated digital information. Additionally, more individuals are becoming aware of its importance. In order to secure images, many academics are participating in research, which is advantageous for guaranteeing data security. In order to strengthen the security of images during transmission, we have investigated new encryption algorithms to guarantee this. First, a current representing the Lorenz chaotic system is introduced into the neuron model. The neuron model generates sequences after receiving the current signal. The next move is made as the current shifts based on whether the sequence that results is chaotic or not. If so, the subsequent operation is carried out; otherwise, the current is altered until chaotic sequences are produced. Second, a global scrambling with de-duplication technique is used to scramble the image using the resulting chaotic sequence. To complete the dislocation effect, the Latin square is used to dislocate the image after the initial dislocation. Fourth, the image that has been scrambled is subjected to two rounds of additive mode diffusion. They are diffusion in the forward additive mode and diffusion in the inverse additive mode. Lastly, to improve the diffusion effect, the image is diffused in the finite domain. Eventually, the encrypted image is obtained. After evaluation tests and comparison with related literature, it can be found that the algorithm of this study has certain advantages. Also, the resistance to attack is good. It can protect the security of the image.INDEX TERMS image encryption,Lorenz system,Hodgkin-Huxley model,Latin square. I. INTRODUCTIONT HE development of technology has facilitated the advancement of life quality [1]. High-tech electrical products are gradually becoming more prevalent in everyday life. The frequent use of intelligent devices is a notable performance [2]. As technology advances, electronic data are increasingly the preferred form of communication with partners. The study of data security is particularly crucial in this situation of constant information exchange [3]. The security of the images, in addition to the data, is crucial to the transmission process [4]. Therefore, it follows that the study of network security is also related to the security of images. Because of the limitations of data transmission technologies at the beginning of technological development, image encryption was not widely used [5]. Additionally, digital communication did not gain much popularity. These caused the importance of image encryption not to be adequately portrayed. As the information era has progressed, it appears that user-to-user communication can no longer be fully satisfied by straightforward data exchange [6]. Images appear to be better able to convey the feelings that users want to express and to convey more information. In this instance, visual communication between consumers is becoming more common. Users may not care whether image information is shared in some cir...

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Image encryption based on a combination of multiple chaotic maps

Cited by 94 publications

References 53 publications

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

A 3-Layer PSN for Image Encryption Utilizing Fractional-Order Chen Hyperchaotic Map and Cryptographically-Secure PRNGs

An Algorithm Based on Hodgkin-Huxley Model and Latin Square for Image Encryption

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