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  New color image cryptosystem via SHA-512 and hybrid domain

Wang, K., Wu, X., Wang, H., Kan, H., Kurths, J. (2021 online): New color image cryptosystem via SHA-512 and hybrid domain. - Multimedia Tools and Applications.
https://doi.org/10.1007/s11042-021-10511-0

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_25470 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_25470_1
Genre: Journal Article

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 Creators:
Wang, Kunshu1, Author
Wu, Xiangjun1, Author
Wang, Hui1, Author
Kan, Haibin1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Most current image encryption algorithms directly confuse and/or diffuse the image pixels only in spatial domain which results in reducing storage efficiency and making the cipher-image incompressible. In this paper, we introduce a new color image encryption scheme based on the hash function SHA-512, discrete wavelet transform (DWT) and chaotic maps with excellent performance. Combining with the plain-image and the secret keys, the SHA-512 is employed to generate the new keys. In the proposed algorithm, both the 2D-LASM and the 2D-SIMM are used to generate the keystreams, where the initial values and parameters are produced by the SHA-512 hash value. The single-level DWT is applied to decompose the plain-image into four image sub-bands. Then these sub-bands are shuffled, minified, reversed and swapped by the keystreams. The image after inverse discrete wavelet transform (IDWT) reconstruction is further divided and diffused using the keystreams (more than 2349) in spatial domain. Experimental results and performance analysis demonstrate the proposed scheme is an efficient, secure and robust encryption mechanism. Besides, the duration of the experiment was relatively short and required only 0.3628 s on average.

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 Dates: 2021-01-052021-02-20
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s11042-021-10511-0
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
 Degree: -

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Title: Multimedia Tools and Applications
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/multimedia-ools-and-applications
Publisher: Springer