Enhancing robustness in video data hiding against recompression with a wide parameter range

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Security and Applications Pub Date : 2024-05-29 DOI:10.1016/j.jisa.2024.103796
Yanli Chen , Asad Malik , Hongxia Wang , Ben He , Yonghui Zhou , Hanzhou Wu
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Abstract

With the exponential growth of online videos and the availability of advanced video editing tools, the integrity of videos is increasingly threatened by various cyber-based attacks, particularly recompression attacks. Different recompression parameters are used for various attack scenarios. However, recompression operations can modify video data and cause authentication failures, especially for videos with integrated authentication information. To address this issue, this research proposes a robust video data concealing strategy to protect authentication information during recompression operations. By analyzing the impact of recompression on the reference and encoded components of a video, a robust embedding entity is developed. This entity enables the identification of suitable embedding parameters that minimize distortion caused by recompression. Based on the embedding entity and parameters, a scheme is proposed to hide data using two embedding methods, thereby enhancing the robustness of the overall approach. The performance of the scheme is evaluated based on criteria such as the correct rate of extracted information and the quality of marked videos. Hypothesis testing is employed to assess the confidence level. In comparison to existing robust video data hiding methods against recompression, our scheme demonstrates the ability to preserve more information during recompression, particularly with Quantization Parameters (QP) ranging from 25 to 34. This is achieved when the test videos are initially compressed with QP=28.

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在宽参数范围内增强视频数据隐藏对重新压缩的稳健性
随着在线视频的指数级增长和先进视频编辑工具的出现,视频的完整性日益受到各种网络攻击的威胁,尤其是重压缩攻击。不同的重压缩参数用于不同的攻击场景。然而,重压缩操作会修改视频数据并导致身份验证失败,尤其是对于集成了身份验证信息的视频。针对这一问题,本研究提出了一种稳健的视频数据隐藏策略,以在重新压缩操作过程中保护身份验证信息。通过分析重新压缩对视频参考和编码组件的影响,开发了一种稳健的嵌入实体。通过该实体,可以确定合适的嵌入参数,从而最大限度地减少重新压缩造成的失真。在嵌入实体和参数的基础上,提出了一种使用两种嵌入方法隐藏数据的方案,从而增强了整个方法的鲁棒性。根据提取信息的正确率和标记视频的质量等标准,对该方案的性能进行了评估。采用假设检验来评估置信度。与现有的针对重压缩的稳健视频数据隐藏方法相比,我们的方案在重压缩过程中能够保留更多信息,尤其是在量化参数(QP)为 25 到 34 的情况下。当测试视频最初以 QP=28 进行压缩时,就能实现这一点。
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来源期刊
Journal of Information Security and Applications
Journal of Information Security and Applications Computer Science-Computer Networks and Communications
CiteScore
10.90
自引率
5.40%
发文量
206
审稿时长
56 days
期刊介绍: Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.
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