A Novel Fast Image Encryption Scheme Based on 3D Chaotic Baker Maps

By Yaobin Mao, Guanrong Chen, Shiguo Lian. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2004

638 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/339d3edb06f6cab12d41493201bbaff696d7b791

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Citations in the corpus

A symmetric image encryption scheme based on 3D chaotic cat maps (2004, background): “It has been proved that in many aspects chaotic maps have analogous but different characteristics as compared with conventional encryption algorithms [8,9,12,13].”
Some Basic Cryptographic Requirements for Chaos-Based Cryptosystems (2003, methodology): “A variation of diﬀerential cryptanalysis applied to image encryption can be found for instance in [Chen et al. , 2004; Mao et al. , 2004].”
A hyper-chaos-based image encryption algorithm using pixel-level permutation and bit-level permutation (2017, background): “The NPCR (number of pixels change rate) and UACI (unified average changing intensity) [44] are usually Table 2 Correlation coefficients of adjacent pixel.”
A block cipher based on a suitable use of the chaotic standard map (2005, methodology): “As a slight improvement, the 2D cat map and baker map were extended to 3D ones in [16,17], respectively, based on which symmetric block ciphers were constructed and obtained improved applications.”
NPCR and UACI Randomness Tests for Image Encryption (2011, background): “For our best knowledge, NPCR and UACI are first shown in 2004 [5] [18], both of which point to Yaobin Mao and Guanrong Chen.”
An image encryption scheme based on chaotic tent map (2016, methodology): “Mao et al. [21] proposed a novel fast image encryption scheme based on 3D chaotic baker maps.”
A Fast Image Encryption Scheme based on Chaotic Standard Map (2006, methodology): “encryption [10, 11 ], our modification makes the histogram of confused image uniform in”
Shannon Entropy based Randomness Measurement and Test for Image Encryption (2011, methodology): “Image randomness can be measured using a variety of methods, such as histogram analysis [6,12,16,22,28,29,35,37,40,42,54,55,57,60,63,64], global Shannon entropy measure [6,12,42,55,64,66], adjacent pixel correlations [6,12,16,35,42,57,64,66].”
A general quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks (2008, background): “According to the format of the multimedia data to be encrypted, a lot of elements can be permuted in a secure way: pixels (samples), bitplanes, lines, rows, blocks, macroblocks, slices, transform coefficients, VLC (variable-length codewords) syntax elements, tree nodes, and so on [14–40].”