Coupling chaotic system based on unit transform and its applications in image encryption

Pouyanfar, 2018, Multimedia big data analytics: a survey, ACM Comput. Surv., 51, 1, 10.1145/3150226 Song, 2017, Guest editorial: large-scale multimedia data retrieval, classification, and understanding, IEEE Trans. Multimed., 19, 1965, 10.1109/TMM.2017.2733638 Yang, 2017, Multimedia cloud transmission and storage system based on internet of things, Multimed. Tools Appl., 76, 17735, 10.1007/s11042-015-2967-9 Kapil, 2020, Managing multimedia big data: security and privacy perspective, 1 Li, 2017, Crowdsensing multimedia data: security and privacy issues, IEEE MultiMedia, 24, 58, 10.1109/MMUL.2017.4031306 Kumar, 2014, A review on various digital image encryption techniques and security criteria, Int. J. Comput. Appl., 96 Lang, 2012, Image encryption based on the reality-preserving multiple-parameter fractional Fourier transform and chaos permutation, Opt. Lasers Eng., 50, 929, 10.1016/j.optlaseng.2012.02.012 Wu, 2014, Design of image cipher using latin squares, Inf. Sci., 264, 317, 10.1016/j.ins.2013.11.027 Belazi, 2016, A novel image encryption scheme based on substitution-permutation network and chaos, Signal Process., 128, 155, 10.1016/j.sigpro.2016.03.021 Hua, 2019, Cosine-transform-based chaotic system for image encryption, Inf. Sci., 480, 403, 10.1016/j.ins.2018.12.048 Kang, 2019, Reality-preserving multiple parameter discrete fractional angular transform and its application to color image encryption, IEEE Trans. Circ. Syst. Video Technol., 29, 1595, 10.1109/TCSVT.2018.2851983 Strogatz, 2018 Özkaynak, 2018, Brief review on application of nonlinear dynamics in image encryption, Nonlinear Dyn., 92, 305, 10.1007/s11071-018-4056-x Kwok, 2007, A fast image encryption system based on chaotic maps with finite precision representation, Chaos Soliton. Fract., 32, 1518, 10.1016/j.chaos.2005.11.090 Barakat, 2014, Hardware stream cipher with controllable chaos generator for colour image encryption, IET Image Process., 8, 33, 10.1049/iet-ipr.2012.0586 Wang, 2018, Cryptanalysis and enhancements of image encryption using combination of the 1D chaotic map, Signal Process., 144, 444, 10.1016/j.sigpro.2017.11.005 Pareek, 2006, Image encryption using chaotic logistic map, Image Vis. Comput., 24, 926, 10.1016/j.imavis.2006.02.021 Li, 2019, Dynamic analysis of digital chaotic maps via state-mapping networks, IEEE Trans. Circ. Systems I, 66, 2322 Zhou, 2014, A new 1D chaotic system for image encryption, Signal Process., 97, 172, 10.1016/j.sigpro.2013.10.034 Zhang, 2014, A symmetric image encryption algorithm based on mixed linear–nonlinear coupled map lattice, Inf. Sci., 273, 329, 10.1016/j.ins.2014.02.156 Luo, 2018, A new image encryption algorithm using homogenized Chebyshev-Arnold map, 317 Öztürk, 2018, Digitally generating true orbits of binary shift chaotic maps and their conjugates, Commun. Nonlinear Sci. Numer.Simul., 62, 395, 10.1016/j.cnsns.2018.02.039 B. Liu, H. Xiang, L. Liu, Reducing the Dynamical Degradation of Digital Chaotic Maps with Time-Delay Linear Feedback and Parameter Perturbation, 2020, (https://www.hindawi.com/journals/mpe/2020/4926937/). 10.1155/2020/4926937 Alawida, 2020, Enhanced digital chaotic maps based on bit reversal with applications in random bit generators, Inf. Sci., 512, 1155, 10.1016/j.ins.2019.10.055 Alawida, 2019, Deterministic chaotic finite-state automata, Nonlinear Dyn., 98, 2403, 10.1007/s11071-019-05311-z Alawida, 2019, An image encryption scheme based on hybridizing digital chaos and finite state machine, Signal Process., 164, 249, 10.1016/j.sigpro.2019.06.013 Zheng, 2018, Applications of symbolic dynamics in counteracting the dynamical degradation of digital chaos, Nonlinear Dyn., 94, 1535, 10.1007/s11071-018-4440-6 Asgari-Chenaghlu, 2019, A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation, Signal Process., 157, 1, 10.1016/j.sigpro.2018.11.010 Alawida, 2019, Digital cosine chaotic map for cryptographic applications, IEEE Access, 7, 150609, 10.1109/ACCESS.2019.2947561 Mansouri, 2020, A novel one-dimensional sine powered chaotic map and its application in a new image encryption scheme, Inf. Sci., 520, 46, 10.1016/j.ins.2020.02.008 Chen, 2020, An improved image encryption algorithm with finite computing precision, Signal Process., 168, 107340, 10.1016/j.sigpro.2019.107340 Hua, 2019, Sine chaotification model for enhancing chaos and its hardware implementation, IEEE Trans. Ind. Electron., 66, 1273, 10.1109/TIE.2018.2833049 Lan, 2018, Integrated chaotic systems for image encryption, Signal Process., 147, 133, 10.1016/j.sigpro.2018.01.026 Alawida, 2019, Enhancing unimodal digital chaotic maps through hybridisation, Nonlinear Dyn., 96, 601, 10.1007/s11071-019-04809-w Hua, 2015, 2D Sine Logistic modulation map for image encryption, Inf. Sci., 297, 80, 10.1016/j.ins.2014.11.018 Hua, 2016, Image encryption using 2D logistic-adjusted-Sine map, Inf. Sci., 339, 237, 10.1016/j.ins.2016.01.017 Hua, 2018, 2D Logistic-Sine-coupling map for image encryption, Signal Process., 149, 148, 10.1016/j.sigpro.2018.03.010 Hua, 2020, Two-dimensional sine chaotification system with hardware implementation, IEEE Trans. Ind. Inform., 16, 887, 10.1109/TII.2019.2923553 Hua, 2018, Sine-transform-based chaotic system with FPGA implementation, IEEE Trans. Ind. Electron., 65, 2557, 10.1109/TIE.2017.2736515 Wolf, 1985, Determining Lyapunov exponents from a time series, Physica D, 16, 285, 10.1016/0167-2789(85)90011-9 Richman, 2000, Physiological time-series analysis using approximate entropy and sample entropy, Am. J. Physiol.-Heart Circulat. Physiol., 278, H2039, 10.1152/ajpheart.2000.278.6.H2039 Entacher, 1998, Bad subsequences of well-known linear congruential pseudorandom number generators, ACM Trans. Model. Comput.Simul., 8, 61, 10.1145/272991.273009 L’Ecuyer, 1999, Tables of linear congruential generators of different sizes andgood lattice structure, Mathe. Comput., 68, 249, 10.1090/S0025-5718-99-00996-5 Hull, 1962, Random number generators, SIAM Rev., 4, 230, 10.1137/1004061 G. Steele, S. Vigna, Computationally easy, spectrally good multipliers for congruential pseudorandom number generators, arXiv:2001.05304(2020). L’Ecuyer, 2007, TestU01: AC library for empirical testing of random number generators, ACM Trans. Math. Softw., 33, 22 Bassham, 2010, SP 800-22 Rev. 1a. A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications Kocarev, 2001, Chaos-based cryptography: a brief overview, IEEE Circ. Syst. Mag., 1, 6, 10.1109/7384.963463 Niu, 2016, Splicing model and hyper–chaotic system for image encryption, J. Electric. Eng., 67, 78, 10.1515/jee-2016-0012 Muhammad, 2018, Secure surveillance framework for IoT systems using probabilistic image encryption, IEEE Tran. Ind. Inform., 14, 3679, 10.1109/TII.2018.2791944 Laiphrakpam, 2017, Cryptanalysis of symmetric key image encryption using chaotic Rossler system, Optik, 135, 200, 10.1016/j.ijleo.2017.01.062 Jain, 2016, A robust image encryption algorithm resistant to attacks using DNA and chaotic logistic maps, Multimed. Tools Appl., 75, 5455, 10.1007/s11042-015-2515-7 Durstenfeld, 1964, Algorithm 235: random permutation, Commun. ACM, 7, 420, 10.1145/364520.364540 Zhang, 2018, Improved known-plaintext attack to permutation-only multimedia ciphers, Inf. Sci., 430, 228, 10.1016/j.ins.2017.11.021 Liu, 2016, Chosen-plaintext attack of an image encryption scheme based on modified permutation–diffusion structure, Nonlinear Dyn., 84, 2241, 10.1007/s11071-016-2642-3 Kahan, 1996, IEEE standard 754 for binary floating-point arithmetic, Lecture Notes on the Status of IEEE, 754, 11 Zhang, 2018, The unified image encryption algorithm based on chaos and cubic S-Box, Inf. Sci., 450, 361, 10.1016/j.ins.2018.03.055 Wu, 2011, NPCR and UACI randomness tests for image encryption, Cyber J. Gayathri, 2019, An efficient spatiotemporal chaotic image cipher with an improved scrambling algorithm driven by dynamic diffusion phase, Inf. Sci., 489, 227, 10.1016/j.ins.2019.01.082 Alawida, 2019, A new hybrid digital chaotic system with applications in image encryption, Signal Process., 160, 45, 10.1016/j.sigpro.2019.02.016 Wang, 2015, A novel chaotic block image encryption algorithm based on dynamic random growth technique, Opt. Lasers Eng., 66, 10, 10.1016/j.optlaseng.2014.08.005 Wang, 2015, A fast image algorithm based on rows and columns switch, Nonlinear Dyn., 79, 1141, 10.1007/s11071-014-1729-y Xu, 2016, A novel bit-level image encryption algorithm based on chaotic maps, Opt. Lasers Eng., 78, 17, 10.1016/j.optlaseng.2015.09.007 Liu, 2016, A fast image encryption algorithm based on chaotic map, Opt. Lasers Eng., 84, 26, 10.1016/j.optlaseng.2016.03.019 Ahmad, 2015, Chaos-based diffusion for highly autocorrelated data in encryption algorithms, Nonlinear Dyn., 82, 1839, 10.1007/s11071-015-2281-0 Liao, 2010, A novel image encryption algorithm based on self-adaptive wave transmission, Signal Process., 90, 2714, 10.1016/j.sigpro.2010.03.022 Teng, 2012, A bit-level image encryption algorithm based on spatiotemporal chaotic system and self-adaptive, Optics Communications, 285, 4048, 10.1016/j.optcom.2012.06.004 Diaconu, 2016, Circular inter–intra pixels bit-level permutation and chaos-based image encryption, Inf. Sci., 355, 314, 10.1016/j.ins.2015.10.027