Multi chaotic systems based pixel shuffle for image encryption

Chuan-Kuei Huang, H. H. Nien

Research output: Contribution to journalArticle

177 Citations (Scopus)

Abstract

This paper proposes a novel pixel shuffling method for image encryption. The output trajectory of chaotic system is very unpredictable. Therefore, based on the unpredictable character, we use the chaotic sequences generated by chaotic systems as encryption codes and then implement the digital-color image encryption with high confidential security. The proposed method combined with four differential chaotic systems and pixel shuffling can fully banish the outlines of the original image, disorders the distributive characteristics of RGB levels, and dramatically decreases the probability of exhaustive attacks. The statistic methods involving FIPS PUB 140-1 and the correlation coefficient r are adopted to test on the security analysis. Also NPCR (Number of Pixel Change Rate) and UACI (Unified Average Changing Intensity) are proceeded for the proof of the distinguished characteristic of pixels in the encrypted image. Eventually, empirical images are conducted as illustrations and show that the proposed method has the great encryption performance and achieves the high confidential security.

Original languageEnglish
Pages (from-to)2123-2127
Number of pages5
JournalOptics Communications
Volume282
Issue number11
DOIs
Publication statusPublished - 2009 Jun 1

Fingerprint

Chaotic systems
Cryptography
Pixels
pixels
correlation coefficients
Trajectories
attack
Statistics
Color
statistics
trajectories
disorders
color
output

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Physical and Theoretical Chemistry
  • Electrical and Electronic Engineering

Cite this

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Multi chaotic systems based pixel shuffle for image encryption. / Huang, Chuan-Kuei; Nien, H. H.

In: Optics Communications, Vol. 282, No. 11, 01.06.2009, p. 2123-2127.

Research output: Contribution to journalArticle

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