Abstract
This paper proposes an efficient quantum image steganography protocol based on Zhang Weiming, Zhang Xinpeng and Wang Shuozhong’s steganography framework (ZZW). Based on the high embedding efficiency of the classical ZZW steganography framework, the new protocol combined with the quantum carrier, not only greatly improves the embedding efficiency of the existing quantum image steganography protocols, but also has high security. In order to reflect the practicability of the new protocol, we also designed dedicated quantum circuits to embed and extract secret information. In addition, the simulation results based on Matlab also show that the new protocol not only has good imperceptibility, but also has very high embedding efficiency.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Venegas-Andraca, S.E., Bose, S.: Storing, processing and retrieving an image using quantum mechanics. In: Proceedings of SPIE Conference Quantum Information and Computation, vol. 5105, no. 1, pp. 137–147 (2003)
Venegas-Andraca, S.E., Ball, J.L.: Processing images in entangled quantum systems. Quantum Inf. Process. 9(1), 1–11 (2010). https://doi.org/10.1007/s11128-009-0123-z
Le, P.Q., Dong, F., Hirota, K.: A flexible representation of quantum images for polynomial preparation, image compression, and processing operations. Quantum Inf. Process. 10(1), 63–84 (2011)
Zhang, Y., Lu, K., Gao, Y.H., Wang, M.: NEQR: a novel enhanced quantum representation of digital images. Quantum Inf. Process. 12(8), 2833–2860 (2013)
Jiang, N., Zhao, N., Wang, L.: LSB based quantum image steganography algorithm. Int. J. Theor. Phys. 55(1), 107–123 (2015). https://doi.org/10.1007/s10773-015-2640-0
Zhou, R.-G., Luo, J., Liu, X., Zhu, C., Wei, L., Zhang, X.: A novel quantum image steganography scheme based on LSB. Int. J. Theor. Phys. 57(6), 1848–1863 (2018). https://doi.org/10.1007/s10773-018-3710-x
Qu, Z.G., Li, Z.Y., Xu, G., Wu, S.Y., Wang, X.J.: Quantum image steganography protocol based on quantum image expansion and grover search algorithm. IEEE Access 7(1), 50849–50857 (2019)
Luo, J., Zhou, R.G., Liu, X.A., Hu, W.W., Liu, G.Z.: A novel quantum steganography scheme based on ASCII. Int. J. Quantum Inf. 17(4), 1950033 (2019)
Qu, Z.G., Cheng, Z.W., Wang, X.J.: Matrix coding-based quantum image steganography algorithm. IEEE Access 7(1), 35684–35698 (2019)
Qu, Z., Cheng, Z., Liu, W., Wang, X.: A novel quantum image steganography algorithm based on exploiting modification direction. Multimedia Tools Appl. 78(7), 7981–8001 (2018). https://doi.org/10.1007/s11042-018-6476-5
Zhang, X.P., Wang, S.Z.: Efficient steganographic embedding by exploiting modification direction. IEEE Commun. Lett. 10(11), 781–783 (2006)
Hu, W.-W., Zhou, R.-G., Liu, X.-A., Luo, J., Luo, G.-F.: Quantum image steganography algorithm based on modified exploiting modification direction embedding. Quantum Inf. Process. 19(5), 1–28 (2020). https://doi.org/10.1007/s11128-020-02641-5
Zhang, W., Zhang, X., Wang, S.: Maximizing steganographic embedding efficiency by combining hamming codes and wet paper codes. In: Solanki, K., Sullivan, K., Madhow, U. (eds.) IH 2008. LNCS, vol. 5284, pp. 60–71. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88961-8_5
Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 61373131, 61601358, 61303039, 61232016, 61501247), Sichuan Youth Science and Technique Foundation (No. 2017JQ0048), NUIST Research Foundation for Talented Scholars (2015r014), PAPD and CICAEET funds.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Sun, H., Qu, Z. (2021). High Efficiency Quantum Image Steganography Protocol Based on ZZW Framework. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12737. Springer, Cham. https://doi.org/10.1007/978-3-030-78612-0_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-78612-0_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-78611-3
Online ISBN: 978-3-030-78612-0
eBook Packages: Computer ScienceComputer Science (R0)