A chaos-based symmetric image encryption scheme using a bit-level permutation

By Zhiliang Zhu, Wei Zhang, Kwok-wo Wong, Hai Yu. Information Sciences, 2011

636 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/aa42ff48f2e1f19a97ac5629d084f3fdd9f38c0c

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In Computer Vision and Pattern Recognition

In Mathematical Physics

Citations in the corpus

Image encryption using the two-dimensional logistic chaotic map (2012, background): “Since 1997, Fridrich applied chaos to encryption of digital images for the first time [15], chaos-based image encryption methods are researched for years [13] [16] [17] [18] [19] [20] [21] [22].”
2D Sine Logistic modulation map for image encryption (2015, methodology): “[40], a symmetric image encryption algorithm based on mixed linear-nonlinear coupled map lattice was proposed by Zhang and Wang [34], and a new 1D chaotic system for image encryption was proposed by Zhou et al.”
A novel chaotic block image encryption algorithm based on dynamic random growth technique (2015, methodology): “Table 6 indicates that the performance of the proposed algorithm is better than that of Zhang's algorithm [24], Zhu's algorithm [25] or Lian's algorithm [26] when encrypting images two rounds.”
NPCR and UACI Randomness Tests for Image Encryption (2011, methodology): “However, unlike binary sequence encryption, image encryption [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] is a relatively new area with distinctive characteristics including 1) it is a type of two-dimensional data with high information redundancy [15]; and 2) it usually contains of a large number…”
Shannon Entropy based Randomness Measurement and Test for Image Encryption (2011, methodology): “It is clear that both conventional histogram analysis and Shannon entropy test lack properties 1), 3) and 4) and that autocorrelation analysis, UACI and NPCR attain the property 1) 2) and 3) while not 4).”