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A novel scheme for random sequential high-capacity data hiding based on PVD and LSB

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Abstract

Information hiding is to protect the security of secret information during transmission. This paper proposes a random sequential high-capacity hiding scheme based on pixel value difference (PVD) and least significant bit (LSB), which can maintain a good image quality and extract data accurately. Firstly, the image is divided into \(2 \times 2\) blocks. A random sequence is generated to determine the embedding order and the first pixel in block is selected as the reference pixel. Secondly, the LSB substitution is applied to the reference pixel. A hybrid method of PVD and LSB is utilized to embed the remaining pixels. Calculate the difference between the remaining pixels and the reference pixel to determine the embedding bits according to the difference range table. Finally, the embedded pixels are adjusted to ensure that the differences before and after embedding are within the same range. The experiment compared the embedding capacity (EC), peak signal-noise ratio and structure similarity index with other schemes, demonstrating that this scheme achieved good visual quality while increasing capacity. The experiment results demonstrate that the proposed method has high EC (930,312 bits) and good visual quality (35.51 dB). In addition, the proposed scheme has shown excellent resistance ability to salt-and-pepper noise, regular and singular analysis, pixel difference histogram analysis, and subtractive pixel adjacency matrix steganalysis.

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References

  1. Kadhim, I., Premaratnc, P., Vial, P., Halloran, B.: Comprehensive survey of image steganography: techniques, calculations, and trends in future research. Neurocomputing 335, 299–326 (2019)

    Article  Google Scholar 

  2. Sahu, A.K.: A logistic map based blind and fragile watermarking for tamper detection and localization in images. J. Ambient. Intell. Hum. Comput. 13, 3869–3881 (2022)

    Article  Google Scholar 

  3. Wong, P.H.W., Au, O.C., Yeung, Y.M.: Novel blind multiple watermarking technique for images. IEEE Trans. Circuits Syst. Video Technol. 13, 813–830 (2003)

    Article  Google Scholar 

  4. Kumar, V., Sharma, S., Kumar, C., Sahu, A.K.: Latest trends in deep learning techniques for image steganography. Int. J. Digit. Crime Forensics (IJDCF) 15, 1–14 (2023)

    Article  Google Scholar 

  5. Meng, L., Liu, L., Wang, X., Tian, G.: Reversible data hiding in encrypted images based on iwt and chaotic system. Multimed. Tools Appl. 81, 6833–16861 (2022)

    Article  Google Scholar 

  6. Singh, P.K., Jana, B., Datta, K.: Superpixel based robust reversible data hiding scheme exploiting Arnold transform with DCT and CA. J. King Saud Univ. Comput. Inf. Sci. 34, 4402–4420 (2022)

    Google Scholar 

  7. Yin, Z., Peng, Y., Xiang, Y.: Reversible data hiding in encrypted images based on pixel prediction and bit-plane compression. IEEE Trans. Depend. Secure Comput. 19, 992–1002 (2020)

    Google Scholar 

  8. Rashmi, P., Supriya, M., Hua, Q.C.: Enhanced Lorenz-chaotic encryption method for partial medical image encryption and data hiding in big data healthcare. Secur. Commun. Netw. 2022, 1–9 (2022)

    Article  Google Scholar 

  9. Liu, Z.L., Pun, C.M.: Reversible data hiding in encrypted images using chunk encryption and redundancy matrix representation. IEEE Trans. Depend. Secure Comput. 19, 1382–1394 (2020)

    Google Scholar 

  10. Gaurav, K., Ghanekar, U.: Image steganography based on canny edge detection, dilation operator and hybrid coding. J. Inf. Secur. Appl. 41, 41–51 (2018)

    Google Scholar 

  11. Sahu, A.K., Sahu, M.: Digital image steganography and steganalysis: a journey of the past three decades. Open Comput. Sci. 10, 296–342 (2020)

    Article  Google Scholar 

  12. Bender, W., Gruhl, D., Morimoto, N., Lu, A.: Techniques for data hiding. IBM Syst. J. 35, 313–336 (1996)

    Article  Google Scholar 

  13. Xu, W.L., Chang, C.C., Chen, T.S., Wang, L.M.: An improved least-significant-bit substitution method using the modulo three strategy. Displays 42, 36–42 (2016)

    Article  Google Scholar 

  14. Fridrich, J., Goljan, M., Du, R.: Detecting lsb steganography in color, and gray-scale images. IEEE Multimed. 8, 22–28 (2001)

    Article  Google Scholar 

  15. Mielikainen, J.: Lsb matching revisited. IEEE Signal Proc. Lett. 13, 285–287 (2006)

    Article  Google Scholar 

  16. Wu, D.C., Tsai, W.H.: A steganographic method for images by pixel-value differencing. Pattern Recogn. Lett. 24, 1613–162 (2003)

    Article  Google Scholar 

  17. Yang, C.H., Weng, C.Y., Tso, H.K., Wang, S.J.: A data hiding scheme using the varieties of pixel-value differencing in multimedia images. J. Syst. Softw. 84, 669–678 (2011)

    Article  Google Scholar 

  18. Zhang, X.P., Wang, S.Z.: Vulnerability of pixel-value differencing steganography to histogram analysis and modification for enhanced security. Pattern Recogn. Lett. 25, 331–339 (2004)

    Article  Google Scholar 

  19. Wu, H.C., Wu, N.I., Tsai, C.S., Hwang, M.S.: Image steganographic scheme based on pixel-value differencing and lsb replacement methods. IEE Proc. Vis. Image Signal Process. 152, 611–615 (2005)

    Article  Google Scholar 

  20. Khodaei, M., Faez, K.: New adaptive steganographic method using least-significant-bit substitution and pixel-value differencing. IET Image Process. 6, 677–686 (2012)

    Article  Google Scholar 

  21. Khodaei, M., Bahram, B.S., Faez, K.: Adaptive data hiding, using pixel-value-differencing and lsb substitution. Cybernet. Syst. 47, 617–628 (2016)

  22. Hussain, M., Riaz, Q., Saleem, S., Ghafoor, A., Jung, K.H.: Enhanced adaptive data hiding method using lsb and pixel value differencing. Multimed. Tools Appl. 80, 20381–20401 (2021)

    Article  Google Scholar 

  23. Jung, K.H.: Data hiding scheme improving embedding capacity using mixed pvd and lsb on bit plane. J. Real Time Image Process. 14, 127–136 (2018)

  24. Sahu, A.K., Swain, G.: An improved method for high hiding capacity based on lsb and pvd. In: Hassaballah, M. (ed.) Digital Media Steganography, pp. 41–64. Elsevier, Amsterdam (2020)

    Chapter  Google Scholar 

  25. Sahu, A.K., Swain, G., Sahu, M., Hemalatha, J.: Multi-directional block based pvd and modulus function image steganography to avoid fobp and iep. J. Inf. Secur. Appl. 58, 1028080 (2021)

    Google Scholar 

  26. Swain, G.: A steganographic method combining lsb substitution and pvd in a block. Procedia Comput. Sci. 85, 39–44 (2016)

    Article  Google Scholar 

  27. Liao, X., Wen, Q.Y., Zhang, J.: A steganographic method for digital images with four-pixel differencing and modified lsb substitution. J. Vis. Commun. Image R 22, 1–8 (2011)

    Article  Google Scholar 

  28. Hameed, M.A., Hassaballah, M., Aly, S., Awad, A.I.: An adaptive image steganography method based on histogram of oriented gradient and pvd-lsb technique. IEEE Access 7, 185189–185204 (2019)

    Article  Google Scholar 

  29. Swain, G.: High capacity image steganography using modified lsb substitution and pvd against pixel difference histogram analysis. Secur. Commun. Netw. 2018 (2018)

  30. Weber, A.G.: The usc-sipi image database. (2006). http://sipi.usc.edu/database/. Accessed on 17 Mar 2023

  31. Bas, P., Furon, T.: The bows2 image dataset (2008). http://bows2.ec-lille.fr/. Accessed on 17 Mar 2023

  32. Pevný, T., Bas, P., Fridrich, J.: Steganalysis by subtractive pixel adjacency matrix. IEEE Trans. Inf. Forensics Secur. 5, 215–224

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WW and HL wrote the main manuscript text; WW made substantial contributions to the conception or design of the work; HL integrated and processed table and image data.

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Correspondence to Huili Li.

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Wu, W., Li, H. A novel scheme for random sequential high-capacity data hiding based on PVD and LSB. SIViP 18, 2277–2287 (2024). https://doi.org/10.1007/s11760-023-02900-9

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