original ) (raw )
Aashiq Banu S, Amirtharajan R, 2020. A robust medical image encryption in dual domain: chaos-DNA-IWT combined approach. Med Biol Eng Comput , 58:1445–1458. https://doi.org/10.1007/s11517-020-02178-w Article Google Scholar
Al-Hazaimeh OM, Al-Jamal MF, Alhindawi N, et al., 2017. Image encryption algorithm based on Lorenz chaotic map with dynamic secret keys. Neur Comput Appl , 31(7): 2395–2405. https://doi.org/10.1007/s00521-017-3195-1 Article Google Scholar
Aqeel-ur-Rehman, Liao XF, Hahsmi MA, et al., 2018. An efficient mixed inter-intra pixels substitution at 2bits-level for image encryption technique using DNA and chaos. Optik , 153:117–134. https://doi.org/10.1016/j.ijleo.2017.09.099 Article Google Scholar
Arumugham S, Rajagopalan S, Rayappan JBB, et al., 2018. Networked medical data sharing on secure medium—a web publishing mode for DICOM viewer with three layer authentication. J Biomed Inform , 86:90–105. https://doi.org/10.1016/j.jbi.2018.08.010 Article Google Scholar
Belazi A, El-latif AAA, Belghith S, 2016. A novel image encryption scheme based on substitution-permutation network and chaos. Signal Process , 128:155–170. https://doi.org/10.1016/j.sigpro.2016.03.021 Article Google Scholar
Belazi A, El-Latif AAA, Diaconu AV, et al., 2017. Chaos-based partial image encryption scheme based on linear fractional and lifting wavelet transforms. Opt Laser Eng , 88:37–50. https://doi.org/10.1016/j.optlaseng.2016.07.010 Article Google Scholar
Belazi A, Talha M, Kharbech S, et al., 2019. Novel medical image encryption scheme based on chaos and DNA encoding. IEEE Access , 7:36667–36681. https://doi.org/10.1109/ACCESS.2019.2906292 Article Google Scholar
Bolourian Haghighi B, Taherinia AH, Mohajerzadeh AH, 2019. TRLG: fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with optimized quality using LWT and GA. Inform Sci , 486: 204–230. https://doi.org/10.1016/j.ins.2019.02.055 Article Google Scholar
Chai XL, Gan ZH, Yuan K, et al., 2019. A novel image encryption scheme based on DNA sequence operations and chaotic systems. Neur Comput Appl , 31(1):219–237. https://doi.org/10.1007/s00521-017-2993-9 Article Google Scholar
Chen YC, Tang CM, Ye RS, 2020. Cryptanalysis and improvement of medical image encryption using highspeed scrambling and pixel adaptive diffusion. Signal Process , 167:107286. https://doi.org/10.1016/j.sigpro.2019.107286 Article Google Scholar
Dagadu JC, Li JP, Addo PC, 2019a. An image cryptosystem based on pseudorandomly enhanced chaotic DNA and random permutation. Multim Tools Appl , 78(17): 24979–25000. https://doi.org/10.1007/s11042-019-7693-2 Article Google Scholar
Dagadu JC, Li JP, Aboagye EO, 2019b. Medical image encryption based on hybrid chaotic DNA diffusion. Wirel Pers Commun , 108(1):591–612. https://doi.org/10.1007/s11277-019-06420-z Article Google Scholar
Daubechies I, Sweldens W, 1998. Factoring wavelet transforms into lifting steps. J Four Anal Appl , 4(3):247–269. https://doi.org/10.1007/BF02476026 Article MathSciNet MATH Google Scholar
Devi RS, Thenmozhi K, Rayappan JBB, et al., 2019. Entropy influenced RNA diffused quantum chaos to conserve medical data privacy. Int J Theor Phys , 58(6):1937–1956. https://doi.org/10.1007/s10773-019-04088-6 Article MathSciNet MATH Google Scholar
Dhall S, Pal SK, Sharma K, 2018. Cryptanalysis of image encryption scheme based on a new 1D chaotic system. Signal Process , 146:22–32. https://doi.org/10.1016/j.sigpro.2017.12.021 Article Google Scholar
Diaconu AV, 2016. Circular inter-intra pixels bit-level permutation and chaos-based image encryption. Inform Sci , 355–356:314–327. https://doi.org/10.1016/j.ins.2015.10.027 Article Google Scholar
Dzwonkowski M, Rykaczewski R, 2019. Secure quaternion Feistel cipher for DICOM images. IEEE Trans Image Process , 28(1):371–380. https://doi.org/10.1109/TIP.2018.2868388 Article MathSciNet MATH Google Scholar
Farah MAB, Guesmi R, Kachouri A, et al., 2020. A novel chaos based optical image encryption using fractional fourier transform and DNA sequence operation. Opt Laser Technol , 121:105777. https://doi.org/10.1016/j.optlastec.2019.105777 Article Google Scholar
Fridrich J, 1998. Symmetric ciphers based on two-dimensional chaotic maps. Int J Bifurc Chaos , 8(6):1259–1284. https://doi.org/10.1142/S021812749800098X Article MathSciNet MATH Google Scholar
Ghebleh M, Kanso A, 2019. A novel efficient image encryption scheme based on chained skew tent maps. Neur Comput Appl , 31(7):2415–2430. https://doi.org/10.1007/s00521-017-3199-x Article Google Scholar
Guan MM, Yang XL, Hu WS, 2019. Chaotic image encryption algorithm using frequency-domain DNA encoding. IET Image Process , 13(9):1535–1539. https://doi.org/10.1049/iet-ipr.2019.0051 Article Google Scholar
Hua ZY, Yi S, Zhou YC, 2018. Medical image encryption using high-speed scrambling and pixel adaptive diffusion. Signal Process , 144:134–144. https://doi.org/10.1016/j.sigpro.2017.10.004 Article Google Scholar
Kumar S, Panna B, Jha RK, 2019. Medical image encryption using fractional discrete cosine transform with chaotic function. Med Biol Eng Comput , 57(11):2517–2533. https://doi.org/10.1007/s11517-019-02037-3 Article Google Scholar
Liu H, Zhao B, Huang LQ, 2019a. A novel quantum image encryption algorithm based on crossover operation and mutation operation. Multim Tools Appl , 78(14):20465–20483. https://doi.org/10.1007/s11042-019-7186-3 Article Google Scholar
Liu H, Zhao B, Huang LQ, 2019b. A remote-sensing image encryption scheme using DNA bases probability and two-dimensional logistic map. IEEE Access , 7:65450–65459. https://doi.org/10.1109/ACCESS.2019.2917498 Article Google Scholar
Liu JZ, Tang SS, Lian J, et al., 2019. A novel fourth order chaotic system and its algorithm for medical image encryption. Multidim Syst Sign Process , 30(4):1637–1657. https://doi.org/10.1007/s11045-018-0622-0 Article MATH Google Scholar
Liu ZT, Wu CX, Wang J, et al., 2019. A color image encryption using dynamic DNA and 4-D memristive hyper-chaos. IEEE Access , 7:78367–78378. https://doi.org/10.1109/ACCESS.2019.2922376 Article Google Scholar
Luo J, Qu SC, Xiong ZL, et al., 2019. Observer-based finite-time modified projective synchronization of multiple uncertain chaotic systems and applications to secure communication using DNA encoding. IEEE Access , 7:65527–65543. https://doi.org/10.1109/ACCESS.2019.2917706 Article Google Scholar
Luo Y, Du M, Liu J, 2015. A symmetrical image encryption scheme in wavelet and time domain. Commun Nonl Sci Numer Simul , 20(2):447–460. https://doi.org/10.1016/j.cnsns.2014.05.022 Article Google Scholar
Mahdi MSR, Al Aziz MM, Alhadidi D, et al., 2019. Secure similar patients query on encrypted genomic data. IEEE J Biomed Health Inform , 23(6):2611–2618. https://doi.org/10.1109/JBHI.2018.2881086 Article Google Scholar
Moafimadani SS, Chen YC, Tang CM, 2019. A new algorithm for medical color images encryption using chaotic systems. Entropy , 21(6):577. https://doi.org/10.3390/e21060577 Article MathSciNet Google Scholar
Mohamed Parvees MY, Abdul Samath J, Parameswaran Bose B, 2017. Medical images are safe—an enhanced chaotic scrambling approach. J Med Syst , 41(10):167. https://doi.org/10.1007/s10916-017-0809-1 Article Google Scholar
Praveenkumar P, Amirtharajan R, Thenmozhi K, et al., 2015. Medical data sheet in safe havens—a tri-layer cryptic solution. Comput Biol Med , 62:264–276. https://doi.org/10.1016/J.COMPBIOMED.2015.04.031 Article Google Scholar
Premkumar R, Anand S, 2019. Secured and compound 3-D chaos image encryption using hybrid mutation and crossover operator. Multim Tools Appl , 78(8):9577–9593. https://doi.org/10.1007/s11042-018-6534-z Article Google Scholar
Ravichandran D, Praveenkumar P, Balaguru Rayappan JB, et al., 2016. Chaos based crossover and mutation for securing DICOM image. Comput Biol Med , 72:170–184. https://doi.org/10.1016/j.compbiomed.2016.03.020 Article Google Scholar
Ravichandran D, Praveenkumar P, Rayappan JBB, et al., 2017. DNA chaos blend to secure medical privacy. IEEE Trans NanoBiosci , 16(8):850–858. https://doi.org/10.1109/TNB.2017.2780881 Article Google Scholar
Rehman AU, Wang HW, Shahid MMA, et al., 2019. A selective cross-substitution technique for encrypting color images using chaos, DNA rules and SHA-512. IEEE Access , 7:162786–162802. https://doi.org/10.1109/ACCESS.2019.2951749 Article Google Scholar
Stalin S, Maheshwary P, Shukla PK, et al., 2019. Fast and secure medical image encryption based on non linear 4D logistic map and DNA sequences (NL4DLM_DNA). J Med Syst , 43(8):267. https://doi.org/10.1007/s10916-019-1389-z Article Google Scholar
Suri S, Vijay R, 2020. A Pareto-optimal evolutionary approach of image encryption using coupled map lattice and DNA. Neur Comput Appl , 32:11859–11873. https://doi.org/10.1007/s00521-019-04668-x Article Google Scholar
Wang XY, Zhang JJ, Cao GH, 2019. An image encryption algorithm based on zigzag transform and LL compound chaotic system. Opt Laser Technol , 119:105581. https://doi.org/10.1016/j.optlastec.2019.105581 Article Google Scholar
Yosefnezhad Irani B, Ayubi P, Amani Jabalkandi F, et al., 2019. Digital image scrambling based on a new one-dimensional coupled sine map. Nonl Dynam , 97(4): 2693–2721. https://doi.org/10.1007/s11071-019-05157-5 Article MATH Google Scholar
Zhang XC, Zhou Z, Niu Y, 2018. An image encryption method based on the feistel network and dynamic DNA encoding. IEEE Photon J , 10(4):3901014. https://doi.org/10.1109/JPHOT.2018.2859257 Google Scholar
Download references