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A Robust Steganography Method for HEVC Based on Secret Sharing
Cognitive Systems Research ( IF 3.9 ) Pub Date : 2020-01-01 , DOI: 10.1016/j.cogsys.2019.09.008
Shuyang Liu , Degang Xu

Abstract This paper presents a robust steganography method for HEVC based on secret sharing. To prevent intra-frame distortion drift, three Classes of intra-frame prediction are defined. To improve the robustness of the secret message, the embedded message has been encoded into n sub-secrets by using (t, n)-threshold secret sharing. Then the encoded message is embedded into the multi-coefficients of the selected 4 × 4 luminance DST blocks which meet the Classes mentioned above. When the test video faced with different loss-rates, the survival rate of the proposed steganography method has increased by around 24.27%, 27.38%, 61.91% and 32.26% compared with Swati, Hayat, and Shahid (2014), respectively; the survival rate of the proposed steganography method has increased by around 28.74%, 34.60%, 56.05% and 41.40% compared with Liu, Liu, and Zhao (2017), respectively; when the loss-rate is less than 15%, the proposed steganography method can get 100% survival rate. And the experiments prove that the proposed method can achieve high performance than previously video steganography methods based on HEVC, especially for visual quality and robustness performance.

中文翻译:

一种基于秘密共享的HEVC鲁棒隐写方法

摘要 本文提出了一种基于秘密共享的健壮的HEVC隐写方法。为了防止帧内失真漂移,定义了三类帧内预测。为了提高秘密消息的鲁棒性,嵌入的消息通过使用 (t, n) 阈值秘密共享被编码为 n 个子秘密。然后将编码的消息嵌入到满足上述类别的所选 4 × 4 亮度 DST 块的多系数中。当测试视频面临不同的损失率时,所提出的隐写术方法的存活率与 Swati、Hayat 和 Shahid(2014)相比分别提高了 24.27%、27.38%、61.91% 和 32.26%;与刘、刘、和赵(2017),分别;当损失率小于 15% 时,所提出的隐写术方法可以获得 100% 的存活率。并且实验证明,所提出的方法可以实现比以前基于HEVC的视频隐写方法更高的性能,尤其是在视觉质量和鲁棒性方面。
更新日期:2020-01-01
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