Abstract
With the development of quantum image processing, the sensitive information and potential security risks carried by quantum images are increasing. Quantum image encryption technology can effectively prevent eavesdropping and leakage of information during transmission and often yield higher encryption strength and lower computational complexity. However, most existing quantum image encryption schemes perform encryption by focusing on either frequency domain or spatial domain, which is vulnerable to simultaneous attacks launched on both domains. In this paper, in order to better resist attacks from the spatial and frequency domains, we propose an encryption scheme based on binary key images and qubit rotation for the MQIR (multi-mode quantum image representation) image, which is closer to the classical digital image representation model, by combining frequency domain and spatial domain dislocation. The proposed scheme prepares the original image and the binary key image generated from the original image based on MQIR, then performs a cyclic shift of the original image in the spatial domain, and performs encryption in the frequency domain using QFT (quantum Fourier transform) and the binary key image. Specifically, to improve the randomness of the key, which can increase the cracking costs and reduce the security risks, we propose an algorithm to generate different binary key images for different images. To validate the effectiveness of the proposed scheme, we designed a simple and efficient quantum circuit and performed a complete quantum image simulation experiment on the IBM Quantum Experiment Platform. The quantum collapse results show that the scheme changes both the position information and the color information of the image. SD (standard deviation) is adopted to evaluate the uniformity of the quantum sequence, which indicates the effectiveness of the quantum image encryption. In order to evaluate the security of the algorithm more comprehensively, we also conduct security analysis on MATLAB platform. The experimental results show that the algorithm can effectively encrypt the image with high security.
Similar content being viewed by others
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Li, H.-S., Li, C., Chen, X., Xia, H.-Y.: Quantum image encryption algorithm based on NASS. Int. J. Theor. Phys. 57(12), 3745–3760 (2018)
Ye, G., Jiao, K., Huang, X.: Quantum logistic image encryption algorithm based on SHA-3 and RSA. Nonlinear Dyn. 104(3), 2807–2827 (2021)
Teng, L., Wang, X., Xian, Y.: Image encryption algorithm based on a 2D-CLSS hyperchaotic map using simultaneous permutation and diffusion. Inf. Sci. 605, 71–85 (2022)
Abd El-Latif, A.A., Abd-El-Atty, B., Talha, M.: Robust encryption of quantum medical images. IEEE Access 6, 1073–1081 (2017)
Gong, L.-H., He, X.-T., Cheng, S., Hua, T.-X., Zhou, N.-R.: Quantum image encryption algorithm based on quantum image XOR operations. Int. J. Theor. Phys. 55(7), 3234–3250 (2016)
Gong, L.-H., He, X.-T., Tan, R.-C., Zhou, Z.-H.: Single channel quantum color image encryption algorithm based on HSI model and quantum fourier transform. Int. J. Theor. Phys. 57(1), 59–73 (2018)
Hu, Y., Xie, X., Liu, X., Zhou, N.: Quantum multi-image encryption based on iteration Arnold transform with parameters and image correlation decomposition. Int. J. Theor. Phys. 56(7), 2192–2205 (2017)
Wang, H., Wang, J., Geng, Y.-C., Song, Y., Liu, J.-Q.: Quantum image encryption based on iterative framework of frequency-spatial domain transforms. Int. J. Theor. Phys. 56(10), 3029–3049 (2017)
Abd El-Latif, A.A., Abd-El-Atty, B., Hossain, M.S., Rahman, M.A., Alamri, A., Gupta, B.B.: Efficient quantum information hiding for remote medical image sharing. IEEE Access 6, 21075–21083 (2018)
Yang, Y.G., Tian, J., Lei, H., Zhou, Y.H., Shi, W.M.: Novel quantum image encryption using one-dimensional quantum cellular automata. Inf. Sci. 345, 257–70 (2016)
Hu, M., Li, J., Di, X.: Quantum image encryption scheme based on 2d s ine 2-l ogistic chaotic map. Nonlinear Dyn. 111(3), 2815–2839 (2023)
Venegas-Andraca, S.E., Bose, S.: Storing, processing, and retrieving an image using quantum mechanics. In: Quantum Information and Computation, vol. 5105, pp. 137–147. SPIE (2003)
Latorre, J.I.: Image compression and entanglement. arXiv preprint quant-ph/0510031 (2005)
Zhu, H.-H., Chen, X.-B., Yang, Y.-X.: A multimode quantum image representation and its encryption scheme. Quantum Inf. Process. 20(315), 1–21 (2021)
Jiang, N., Wang, L., Wu, W.-Y.: Quantum hilbert image scrambling. Int. J. Theor. Phys. 53(7), 2463–2484 (2014)
Ip, L.: Quantum algorithms and the fourier transform. Ph.D. thesis, University of California, Berkeley (2004)
Fijany, A., Williams, C.P.: Quantum wavelet transforms: Fast algorithms and complete circuits. In: NASA International Conference on Quantum Computing and Quantum Communications, pp. 10–33 (1998). Springer
Tseng, C.-C., Hwang, T.-M.: Quantum circuit design of 8/spl times/8 discrete cosine transform using its fast computation flow graph. In: 2005 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 828–831 (2005). IEEE
Abdallah, E.E., Hamza, A.B., Bhattacharya, P.: Mpeg video watermarking using tensor singular value decomposition. In: International Conference Image Analysis and Recognition, pp. 772–783 (2007). Springer
Yin, X., L.Z.D.J. Yao, J.: Image encryption algorithm based on transformation and chaotic sequences. Comput. Eng. Appl. 40(34), 12–14 (2004)
Zhang, Q.L., Fang, Y.: Color image encryption method based on wavelet transform and chaotic mapping. Electron. Technol. Softw. Eng. 16, 135–136 (2014)
Liu, X., Xiao, H., Li, P., Zhao, Y.: Design and implementation of color image encryption based on qubit rotation about axis. Chin. J. Electron. 27(4), 799–807 (2018)
Khan, M., Waseem, H.M.: A novel image encryption scheme based on quantum dynamical spinning and rotations. PLoS ONE 13(11), 0206460 (2018)
Yang, Y.-G., Jia, X., Sun, S.-J., Pan, Q.-X.: Quantum cryptographic algorithm for color images using quantum fourier transform and double random-phase encoding. Inf. Sci. 277, 445–457 (2014)
Jiang, N., Dong, X., Hu, H., Ji, Z., Zhang, W.: Quantum image encryption based on henon mapping. Int. J. Theor. Phys. 58, 979–991 (2019)
Liu, X., Xiao, D., Xiang, Y.: Quantum image encryption using intra and inter bit permutation based on logistic map. IEEE Access 7, 6937–6946 (2018)
Li, H.-S., Chen, X., Song, S., Liao, Z., Fang, J.: A block-based quantum image scrambling for gneqr. IEEE Access 7, 138233–138243 (2019)
Liu, X., Xiao, D., Liu, C.: Double quantum image encryption based on arnold transform and qubit random rotation. Entropy 20(11), 1–16 (2018)
Zhu, H.-H., Chen, X.-B., Yang, Y.-X.: Image preparations of multi-moe quantum image representation and their application on quantum image reproduction. Optik 251, 168321 (2022)
Chen, Z., Pan, J., Yan, Y., Zhu, H.: Design and implementation of mqir image scaling. Int. J. Theor. Phys. 61(3), 1–21 (2022)
Chen, Z., Pan, J., Yan, Y., Zhu, H., Li, X.: A parallel double scrambling encryption scheme for mqir image based on random combination. Physica A 607, 128225 (2022)
Nakahara, M.: Quantum Computing: From Linear Algebra to Physical Realizations. CRC Press, 1–438 (2008)
Qiskit 0.41.0 Documentation. https://qiskit.org/documentation/
Chen, Z., Yan, Y., Pan, J., Zhu, H.: Cyclic shift-based MQIR image encryption scheme. Quantum Inf. Process. 21(175), 1–27 (2022)
Wang, X., Liu, P.: A new full chaos coupled mapping lattice and its application in privacy image encryption. IEEE Trans. Circuits Syst. I Regul. Pap. 69(3), 1291–1301 (2021)
Mukaka, M.M.: A guide to appropriate use of correlation coefficient in medical research. Malawi Med. J. 24(3), 69–71 (2012)
Wu, W., Wang, Q.: Quantum image encryption based on baker map and 2d logistic map. Int. J. Theor. Phys. 61(3), 1–15 (2022)
Teng, L., Wang, X., Yang, F., Xian, Y.: Color image encryption based on cross 2d hyperchaotic map using combined cycle shift scrambling and selecting diffusion. Nonlinear Dyn. 105(2), 1859–1876 (2021)
Lone, M.A., Qureshi, S.: Encryption scheme for RGB images using chaos and affine hill cipher technique. Nonlinear Dyn. 111(6), 5919–5939 (2023)
Wu, Y., Noonan, J.P., Agaian, S., et al.: NPCR and UACI randomness tests for image encryption. Cyber journals: multidisciplinary journals in science and technology. J. Sel. Areas Telecommun. (JSAT) 1(2), 31–38 (2011)
Musanna, F., Kumar, S.: Image encryption using quantum 3-d baker map and generalized gray code coupled with fractional chen’s chaotic system. Quantum Inf. Process. 19(220), 1–31 (2020)
Liu, P., Wang, X., Su, Y.: Image encryption via complementary embedding algorithm and new spatiotemporal chaotic system. IEEE Trans. Circuits Syst. Video Technol. 33(5), 2506–2519 (2023)
Song, X.-H., Wang, S., Abd El-Latif, A.A., Niu, X.-M.: Quantum image encryption based on restricted geometric and color transformations. Quantum Inf. Process. 13, 1765–1787 (2014)
Naseri, M., Abdolmaleky, M., Parandin, F., Fatahi, N., Farouk, A., Nazari, R.: A new quantum gray-scale image encoding scheme. Commun. Theor. Phys. 69(2), 215–226 (2018)
Yavuz, E.: A novel chaotic image encryption algorithm based on content-sensitive dynamic function switching scheme. Opt. Laser Technol. 114, 224–239 (2019)
Rani, N., Mishra, V., Sharma, S.R.: Image encryption model based on novel magic square with differential encoding and chaotic map. Nonlinear Dyn. 111(3), 2869–2893 (2023)
Hu, X., Wei, L., Chen, W., Chen, Q., Guo, Y.: Color image encryption algorithm based on dynamic chaos and matrix convolution. IEEE Access 8, 12452–12466 (2020)
Liu, X., Xiao, D., Huang, W., Liu, C.: Quantum block image encryption based on Arnold transform and sine chaotification model. IEEE Access 7, 57188–57199 (2019)
Zhou, S.: A quantum image encryption method based on dnacnot. IEEE Access 8, 178336–178344 (2020)
Abdelfatah, R.I.: Quantum image encryption using a self-adaptive hash function-controlled chaotic map (sahf-ccm). IEEE Access 10, 107152–107169 (2022)
Wang, J., Geng, Y.-C., Han, L., Liu, J.-Q.: Quantum image encryption algorithm based on quantum key image. Int. J. Theor. Phys. 58, 308–322 (2019)
Hu, W.-W., Zhou, R.-G., Jiang, S., Liu, X., Luo, J.: Quantum image encryption algorithm based on generalized arnold transform and logistic map. CCF Trans. High Perform. Comput. 2, 228–253 (2020)
Acknowledgements
This work was supported by the Opening Project of Intelligent Policing Key Laboratory of Sichuan Province (No. ZNJW2022KFZD002)
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Chen, Z., Yan, Y., Pan, J. et al. An encryption scheme for MQIR based on binary key image and qubit rotation. Nonlinear Dyn 111, 22621–22644 (2023). https://doi.org/10.1007/s11071-023-09006-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-023-09006-4