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Secure Reversible Data Hiding in Images Based on Linear Prediction and Bit-Plane Slicing

Author

Listed:
  • Maham Nasir

    (Department of Computer Sciences, Comsats University Islamabad, Abbottabad Campus, Islamabad 22060, Pakistan)

  • Waqas Jadoon

    (Department of Computer Sciences, Comsats University Islamabad, Abbottabad Campus, Islamabad 22060, Pakistan)

  • Iftikhar Ahmed Khan

    (Department of Computer Sciences, Comsats University Islamabad, Abbottabad Campus, Islamabad 22060, Pakistan)

  • Nosheen Gul

    (Department of Computer Sciences, Comsats University Islamabad, Abbottabad Campus, Islamabad 22060, Pakistan)

  • Sajid Shah

    (Department of Computer Sciences, Comsats University Islamabad, Abbottabad Campus, Islamabad 22060, Pakistan
    EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Mohammed ELAffendi

    (EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Ammar Muthanna

    (Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya, 117198 Moscow, Russia)

Abstract

Reversible Data Hiding (RDH) should be secured as per requirements to protect content in open environments such as the cloud and internet. Integrity and undetectability of steganographic images are amongst the main concerns in any RDH scheme. As steganographic encryption using linear prediction over bit-planes is challenging, so the security and embedding capacity of the existing RDH techniques could not be adequate. Therefore, a new steganographic technique is proposed which provides better security, higher embedding capacity and visual quality to the RDH scheme. In this technique, the cover image is divided into n-bit planes (nBPs) and linear prediction is applied to it. Next, the histogram of the residual nBPs image is taken, and secret data bits are encrypted using the RC4 cryptographic algorithm. To embed the encrypted secret data bits, the histogram shifting process is applied. This is achieved by using peak and zero pairs of residual nBPs images. This scheme provides security to the cover image and hidden data. The proposed RDH scheme is capable of extracting the embedded secret data accurately and recovering the original cover or residual nBPs image.

Suggested Citation

  • Maham Nasir & Waqas Jadoon & Iftikhar Ahmed Khan & Nosheen Gul & Sajid Shah & Mohammed ELAffendi & Ammar Muthanna, 2022. "Secure Reversible Data Hiding in Images Based on Linear Prediction and Bit-Plane Slicing," Mathematics, MDPI, vol. 10(18), pages 1-18, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3311-:d:913007
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    References listed on IDEAS

    as
    1. Xi-Yan Li & Xia-Bing Zhou & Qing-Lei Zhou & Shi-Jing Han & Zheng Liu, 2020. "High-Capacity Reversible Data Hiding in Encrypted Images by Information Preprocessing," Complexity, Hindawi, vol. 2020, pages 1-12, October.
    2. Zhigang Chen & Gang Hu & Mengce Zheng & Xinxia Song & Liqun Chen, 2021. "Bibliometrics of Machine Learning Research Using Homomorphic Encryption," Mathematics, MDPI, vol. 9(21), pages 1-22, November.
    Full references (including those not matched with items on IDEAS)

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    1. Bin Huang & Chun Wan & Kaimeng Chen, 2021. "High-Capacity Reversible Data Hiding in Encrypted Images Based on Adaptive Predictor and Compression of Prediction Errors," Mathematics, MDPI, vol. 9(17), pages 1-15, September.

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