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Robust RDH Technique Using Sorting and IPVO-Based Pairwise PEE for Secure Communication

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  • Aruna Malik

    (National Institute of Technology, Jalandhar, India)

  • Rajeev Kumar

    (Kyungil University, South Korea)

Abstract

Nowadays, Reversible Data Hiding (RDH) is used extensively in information sensitive communication domains to protect the integrity of hidden data and the cover medium. However, most of the recently proposed RDH methods lack robustness. Robust RDH methods are required to protect the hidden data from security attacks at the time of communication between the sender and receiver. In this paper, we propose a Robust RDH scheme using IPVO based pairwise embedding. The proposed scheme is designed to prevent unintentional modifications caused to the secret data by JPEG compression. The cover image is decomposed into two planes namely HSB plane and LSB plane. As JPEG compression most likely modifies the LSBs of the cover image during compression, it is best not to hide the secret data into LSB planes. So, the proposed method utilizes a pairwise embedding to embed secret data into HSB plane of the cover image. High fidelity improved pixel value ordering (IPVO) based pairwise embedding ensures that the embedding performance of the proposed method is improved.

Suggested Citation

  • Aruna Malik & Rajeev Kumar, 2022. "Robust RDH Technique Using Sorting and IPVO-Based Pairwise PEE for Secure Communication," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 11(2), pages 1-17, August.
    • Handle: RePEc:igg:jsda00:v:11:y:2022:i:2:p:1-17
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    References listed on IDEAS

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    1. Sam Goundar & Suneet Prakash & Pranil Sadal & Akashdeep Bhardwaj, 2020. "Health Insurance Claim Prediction Using Artificial Neural Networks," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 9(3), pages 40-57, July.
    2. Pyung-Han Kim & Kwan-Woo Ryu & Ki-Hyun Jung, 2020. "Reversible data hiding scheme based on pixel-value differencing in dual images," International Journal of Distributed Sensor Networks, , vol. 16(7), pages 15501477209, July.
    3. Om Ji Shukla & Vishnu Jangid & Gunjan Soni & Rajesh Kumar, 2019. "Grey Based Decision Making for Evaluating Sustainable Performance of Indian Marble Industries," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 8(2), pages 1-18, April.
    4. Feldiansyah Bakri Nasution & Nor Erne Bazin & Rika Rosalyn & Hasanuddin Hasanuddin, 2018. "Public Policymaking Framework Based on System Dynamics and Big Data," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 7(4), pages 38-53, October.
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