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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Wireless Personal Co...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Wireless Personal Communications
Article . 2019 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Image Encryption Using Hyper-chaotic Map for Permutation and Diffusion by Multiple Hyper-chaotic Maps

Authors: Srinivasan Ramakrishnan; T. Gopalakrishnan;

Image Encryption Using Hyper-chaotic Map for Permutation and Diffusion by Multiple Hyper-chaotic Maps

Abstract

In this paper, the image encryption using hyper-chaotic mapping for permutation and diffusion is proposed. 2D hyper-chaotic map is used to generate permutation order into scramble the image in the permutation stage itself. It is further diffused by multiple hyper-chaotic maps through Lorenz’s and Chen’s system. This scheme diffuses the permuted image drastically to bring about randomness characteristics. The permuted key streams get circularly shifted to generate a new key stream for diffusion. The diffusion key stream is generated by multiple hyper-chaotic maps for each step with respect to the input image. The proposed image encryption algorithm using multiple hyper-chaotic maps eliminates multiple rounds and encrypts the image in a single round. The performance analysis such as key space analysis, histogram analysis, correlation analysis, information entropy analysis, NCPR, UACI analysis etc., are carried out which yields better results and security. The proposed algorithm demonstrates the robust security and its validity.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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