A novel plaintext-related chaotic image encryption scheme with no additional plaintext information

Ming Li, Mengdie Wang, Haiju Fan, Kang An and Guoqi Liu

Chaos, Solitons & Fractals, 2022, vol. 158, issue C

Abstract: In the latest image chaotic encryption research, more and more encryption schemes associate the key generation mechanism with the plaintext in order to resist the chosen plaintext attack. However, large amounts of the additional data related to the plaintext need to be sent to the receiver when the sender encrypts a large number of images, which leads to the problems of large transmission cost, high key storage space requirement and complicated key management. In order to solve such problems, this paper proposes a novel plaintext-related chaotic image encryption scheme with no additional plaintext information. The relationship between the plaintext and the secret keys is established by selecting some key pixels in the original image randomly and securely by Henon map. The encryption process is divided into two parts. The first part is to encrypt the selected key pixel while keeping their secret positions unchanged. The second part is to encrypt the remainder pixels based on hyperchaotic Lorenz system and DNA encoding using the generated keys. The proposed encryption mechanism can not only achieve the equivalent effect of one-time pad to resist the chosen plaintext attack, but also avoid transmitting additional information associated with the plaintext in the communication channel, which greatly saves the transmission cost and the required key storage space, and simplify the key management. The encryption scheme in this paper has also passed various security analyses to ensure the security of the ciphertext image.

Keywords: Plaintext-related; Image encryption; Chaotic system; DNA coding (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922001990

DOI: 10.1016/j.chaos.2022.111989

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