A symmetric image encryption scheme based on 3D chaotic cat maps

By Guanrong Chen, Yaobin Mao, Charles K. Chui. 2004

2,150 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/25a5df76f8e226094630af466f0d59bbb1d61cec

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Citations in the corpus

A new chaotic algorithm for image encryption (2006, methodology): “5 s, which is close to the speed of the algorithm proposed in reference [1].”
A fast image encryption system based on chaotic maps with finite precision representation (2007, methodology): “In order to further demonstrate the effectiveness of our scheme, some more sophisticated tests suggested in [4,12] have been carried out and the results are to be explained in the followings.”
A novel algorithm for image encryption based on mixture of chaotic maps (2008, methodology): “To test the influence of one-pixel change on the whole image encrypted by the proposed algorithm, two common measures were used: NPCR and UACI [17].”
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).”
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].”
Image encryption using 2D Logistic-adjusted-Sine map (2016, background): “LAS-IES has smaller absolute AC values than the schemes proposed in [13,50] in all three directions, and outperforms other schemes given in [5,24,39,41] in two directions.”
A new 1D chaotic system for image encryption (2014, neutral): “Encrypted images Chen's algorithm [39] 0.”
A Novel Fast Image Encryption Scheme Based on 3D Chaotic Baker Maps (2004, methodology): “Recently, the idea of using chaos in data encryption has been introduced and discussed in, for instance, [Fridrich, 1997, 1998; Li et al., 2002; Mao & Chen, 2004, Chen et al., 2004; Scharinger, 1998].”
Exploiting self-adaptive permutation-diffusion and DNA random encoding for secure and efficient image encryption (2018, methodology): “Proposed 99.6037 99.6124 99.6056 99.6059 Lian et al. [4] (reported in [9]) 0.0336 3.3283 79.9290 99.5064 Wong et al. [5] NaN 66.8423 99.4007 99.5941 Zhu et al. [9] 0.4223 81.1958 99.6052 995934 Table 15 UACI performance comparisons Round 1 (”