Image encryption algorithm based on semi-tensor product theory

Xiao, Yi; Lin, Zhenrong; Xu, Qian; Du, Jin; Gong, Li-Hua

doi:10.1080/09500340.2022.2138593

Cited by 2 publications

(2 citation statements)

References 38 publications

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“…Alexan et al [21] introduced a singleneuron model and substitution box to provide both high security and efficiency for image encryption. Additionally, some scholars attempted to introduce other techniques, such as compressive sensing [22,23], deoxyribonucleic acid (DNA) coding [24,25], and matrix semitensor products [26,27] to improve chaos-based image cryptosystems. Until now, although various kinds of image encryption algorithms have emerged, scrambling and diffusion are still two basic components to protect these algorithms against modern cryptoanalysis.…”

Section: Introductionmentioning

confidence: 99%

Symmetric Color Image Encryption Using a Novel Cross–Plane Joint Scrambling–Diffusion Method

Shen

Wang

2023

Symmetry

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Motivated by the pursuit of both encryption efficiency and security, this paper presents a symmetric color image encryption algorithm using a novel cross–plane joint scrambling–diffusion method. To provide high–strength security, the color planes are firstly spliced horizontally and then vertically to be adequately encrypted by the joint scrambling–diffusion method. Therefore, minor changes in any pixel can cross every color plane that significantly influences the final cipher image. To achieve fast encryption speed, all employed chaotic systems have simple structures but robust properties to rapidly generate high–quality pseudorandom sequences. Additionally, the joint scrambling–diffusion method is vectorized to handle pixels in parallel for satisfactory execution efficiency. Security tests demonstrate the outstanding security performance of the proposed algorithm, with correlation coefficients and entropies of cipher images being close to 0 and greater than 7.99, respectively, and results of NPCR and UACI tests being similar to ideal cipher images, which can resist statistical, differential, exhaustive, and even chosen ciphertext/plaintext attacks. Moreover, because of the O(4W + 4H) time complexity of the novel scrambling–diffusion method, even a color image with a size of 1024 × 1024 only costs 0.26 s to be encrypted. Hence, the proposed algorithm can satisfy the efficiency and security requirements of color image encryption.

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Section: Introductionmentioning

confidence: 99%

Symmetric Color Image Encryption Using a Novel Cross–Plane Joint Scrambling–Diffusion Method

Shen

Wang

2023

Symmetry

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“…Various methods are employed during the confusion phase. Some of these works used the Arnold transform [1][2][3], Zigzag transformation [4,5], Fisher-Yates [6], and Josephus traversal [7]. Other works implemented scrambling over two steps, such as L-shape and Arnold transforms as in [8], new filling curve design and Josephus traversal [9].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Image Encryption using Non-Adjacent Bits Dynamic Encoding DNA with RSA and Chaotic Systems

Elmenyawi,

Aziem

2023

IJACSA

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Image encryption is a crucial aspect that helps to maintain the images' confidentiality and security in diverse applications. Ongoing research is focused on improving the efficiency and effectiveness of encryption. Image encryption has many practical applications in today's digital world, such as securing confidential images transmitted over networks, protecting sensitive personal information stored in images, and ensuring the privacy of medical images. The suggested work represents a breakthrough in image encryption by proposing a model that leverages the power of DNA, RSA, and chaos. This model has three phases: key generation, confusion, and diffusion. The key generation phase employs a hash function and hyperchaotic technique to generate a strong key. During the confusion phase, the positions of pixels are rearranged, either at the image level or within blocks, using the Duffing chaotic map. Once the scrambling level is determined, each pixel undergoes two successive scrambling steps, with Henon and Arnold's chaotic map to change its location. During the diffusion phase, the encryption model employs a two-approach to ensure maximum security. Firstly, it utilizes dynamic DNA cryptography for non-adjacent bits, followed by robust RSA cryptography. The experimental results indicate that the model possesses a strong security level randomness and can withstand different attacks.

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Image encryption algorithm based on semi-tensor product theory

Cited by 2 publications

References 38 publications

Symmetric Color Image Encryption Using a Novel Cross–Plane Joint Scrambling–Diffusion Method

Symmetric Color Image Encryption Using a Novel Cross–Plane Joint Scrambling–Diffusion Method

Hybrid Image Encryption using Non-Adjacent Bits Dynamic Encoding DNA with RSA and Chaotic Systems

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