基于内预测模型的视频隐写安全策略

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Digital Crime and Forensics Pub Date : 2021-07-01 DOI:10.4018/IJDCF.20210701.OA1
Xiushi Cao, Tanfeng Sun, Xinghao Jiang, Yi Dong, Ke Xu
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引用次数: 0

摘要

针对H.264视频流,提出了一种基于内预测模式(IPM)的视频隐写安全策略。首先,根据校正后IPM转换的特性,采用内容自适应选择策略对候选载波宏块进行测量;然后,采用一种基于分组IPM的高效编码策略对秘密消息进行编码。该编码策略旨在利用校正后的IPM的偏差特性进一步提高安全性能。最后,采用证格编码作为嵌入实现,以减小失真。实验结果表明,本文提出的算法与现有的基于ip的视频隐写相比具有新的安全性能。
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An Intra-Prediction Mode-Based Video Steganography With Secure Strategy
In this paper, an intra-prediction mode (IPM)-based video steganography with secure strategy was proposed for H.264 video stream. First of all, according to the property of IPM conversion after calibration, a content-adaptive selection strategy was adopted to measure candidate carrier macroblock. Then, a more efficient encoding strategy based on grouped IPM was applied to encode secret message. This encoding strategy aimed to further enhance the security performance by exploiting the deviation feature of calibrated IPM. Finally, syndrome-trellis code was used as the embedding implementation to minimize distortion. Experimental results demonstrate that this article proposed algorithm presents a novel security performance with any existing IPM-based video steganography.
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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