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An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding
An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding
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An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding
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An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding
An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding

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An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding
An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding
Journal Article

An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding

2021
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Overview
This paper presents an efficient image encryption scheme based on permutation followed by diffusion, where both of these phases use 2-d Sine logistic modulation map (SLMM) with different initial values. In addition, diffusion uses another map as 1-d Logistic chaotic map (LCM). The initial values of these chaotic maps are obtained from an external key of 64 bytes along with 32-byte hash value from the corresponding plain-image to incorporate plain-text sensitivity. Initially, confusion of the plain-image is implemented by applying row-level and column-level permutations. Then, this permuted image is used for subsequent diffusion, applied on block-level considering block size of 64 bytes. This diffusion process is accomplished by overlaying with chaotic matrix derived from LCM, followed by substitution of those overlaid bytes by DNA encoding along with SLMM to attain an encrypted image with an entropy nearly 8. Furthermore, all the chaotic values generated from the aforementioned maps are highly sensitive on the key as well as on the plain-image. This scheme is thoroughly verified on different sized plain-images with modern statistical analyses to prove the robustness of this scheme. Eventually, comparison with other schemes reinforces its competence and suitability to implement it in real-time system.