A visually meaningful image encryption scheme based on a 5D chaotic map and deep learning

Himthani, Varsha; Dhaka, Vijaypal Singh; Kaur, Manjit

doi:10.1080/13682199.2022.2153476

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…Consequently, researchers have begun exploring new methods for image encryption. Common approaches include image encryption schemes based on techniques such as wavelet transform encryption 2 – 4 , invertible transform 5 – 7 , deep learning 8 – 10 , quantum encryption 11 – 13 , and others. Chaotic systems have garnered significant attention in the field of information security due to their nonlinear dynamics and high sensitivity to initial conditions.…”

Section: Introductionmentioning

confidence: 99%

Image encryption scheme based on improved four-dimensional chaotic system and evolutionary operators

Niu,

Zhou,

Zhang

2024

Sci Rep

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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. Finally, ciphertext feedback is applied. Experimental results and performance analysis demonstrate that the proposed scheme not only enhances the security of encrypted images but also effectively resists noise and cropping attacks. This method effectively meets the high-security requirements of images in network transmission and provides new ideas for further research in the field of image encryption.

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