Abstract
Information technology and the Internet have progressed rapidly in people’s lives, the privacy of information has become an important issue due to the accessibility of data. Therefore, to enhance information security and privacy protection, this paper proposes a new high-capacity method for data hiding. The proposed method is based on 3D magic cube with double layers embedding. In the field of data hiding, the reference matrix-based methods attract many researchers because of its high-capacity. Recently, as the needs of the high payloads of the stego-image, the multi-layers-based technique is applied to provide larger embedding capacity. However, the image after data embedding will cause serious distortions, especially on multi-layers embedding, hence, keeping the image at a good visual quality and achieving high-payloads are the main challenges for data hiding. In this scheme, we take advantage of 3D magic cube and 3D reference space with double layers embedding for our data hiding technique to improve the embedding payloads. The experimental results show that our method not only provides good embedding capacity (4.00 bpp) but also keeps the image at acceptable quality (In terms of PSNR > 30).
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References
Bender, W., Gruhl, D., Morimoto, N., Lu, A.: Techniques for data hiding. IBM Syst. J. 35(3–4), 313–336 (1996)
Chan, C.-K., Cheng, L.-M.: Hiding data in images by simple LSB substitution. Pattern Recognit. 37, 469–474 (2004)
Zhang, X., Wang, S.: Efficient steganographic embedding by exploiting modification direction. IEEE Commun. Lett. 10(11), 781–783 (2006)
Lee, C.-F., Wang, Y.-R., Chang, C.-C.: A steganographic method with high embedding capacity by improving exploiting modification direction. In: Proceedings of 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), pp. 497–500 (2007)
Kuo, W.-C., Wuu, L.-C., Shyi, C.-N., Kuo, S.-H.: A data hiding scheme with high embedding capacity based on general improving exploiting modification direction method. In: Proceedings pf 9th International Conference on Hybrid Intelligent Systems, Shenyang, China, pp. 69–73 (2009)
Wu, D.-C., Tsai, W.-H.: A steganographic method for images by pixel-value differencing. Pattern Recognit. Lett. 24, 1613–1626 (2003)
Tseng, H.-W., Leng, H.-S.: A steganographic method based on pixel- value differencing and the perfect square number. J. Appl. Math. 2013, 1–8 (2013)
Mandal, J.K.: Colour image steganography based on pixel value differencing in spatial domain. Int. J. Inf. Sci. Techn. 2(4), 83–93 (2012)
Chang, C.-C., Chou, Y.-C., Kieu, T.-D.: An information hiding schemeusing Sudoku. In: Proceedings of 3rd International Conference on Innovative Computing Information and Control, p. 17 (2008)
Chang, C.-C., Liu, Y., Nguyen, T.S.: A novel turtle shell-based schemefor data hiding. In: Proceedings of 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 89–93 (2014)
Lee, C.-F., Wang, Y.-X.: An image hiding scheme based on magic signet. J. Electron. Sci. Technol. 18(1), 93–101 (2020)
Lee, C.-F., Shen, J.-J., Agrawal, S., Wang, Y.-X., Lee, Y.-H.: Data hiding method based on 3D magic cube. IEEE Access 8, 39445–39453 (2020)
Acknowledgment
This work was partially supported by the National Science and Technology Council of the Republic of China under the Grant No. 110-2218-E-218-001, 111-2221-E-115-038, 111-2221-E-008-061.
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Weng, HY., Tsai, MY., Wang, WJ., Huang, CT. (2022). High-Capacity Double-Layer Data Hiding Technique Based on 3D Magic Cube. In: Hsieh, SY., Hung, LJ., Klasing, R., Lee, CW., Peng, SL. (eds) New Trends in Computer Technologies and Applications. ICS 2022. Communications in Computer and Information Science, vol 1723. Springer, Singapore. https://doi.org/10.1007/978-981-19-9582-8_59
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DOI: https://doi.org/10.1007/978-981-19-9582-8_59
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