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Can I read Image Encryption Scheme Based on Improved Four-dimensional Chaotic System and Evolutionary Operators on EtoBox?

Image Encryption Scheme Based on Improved Four-dimensional Chaotic System and Evolutionary Operators by Niu, Ying (author);Zhou, Hangyu (author);Zhang, Xuncai (author) is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Image Encryption Scheme Based on Improved Four-dimensional Chaotic System and Evolutionary Operators about?

To enhance the security of image data transmission, and address the weaknesses of existing image encryption schemes based on chaotic systems, particularly concerning resistance to differential attacks and the unstable performance of chaotic systems, this article introduces an improved four-dimensional chaotic system and integrates evolutionary operators to propose an image encryption scheme. Firstly, a method for generating pseudo-random sequences associated with the plaintext is designed. The change rate of the ciphertext pixel value exceeds 0.9967 after a slight modification of the plaintext pixel value, significantly improving the plaintext sensitivity and the scheme's ability to resist selected plaintext attacks. Secondly, an individual rearrangement operation is introduced to achieve bit-level scrambling, and pixel-level scrambling is achieved by selection strategy. Subsequently, crossover and mutation operations are incorporated into image encryption. To reflect the randomness of the pairing, we adopt the pseudo-random sequence generated by the chaotic system to control the crossover and mutation operators, and a diffusion operation is performed on selected pixel pairs. Final

Who reads Image Encryption Scheme Based on Improved Four-dimensional Chaotic System and Evolutionary Operators?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Niu, Ying (author);Zhou, Hangyu (author);Zhang, Xuncai (author)
Publisher
Springer Science and Business Media LLC
Published
2024
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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