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A secure covert communication model based on video steganography

机译:基于视频隐图的安全隐蔽通信模型

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This paper presents a steganographic model which utilizes cover video files to conceal the presence of other sensitive data regardless of its format. The model presented is based on pixel-wise manipulation of colored raw video files to embed the secret data. The secret message is segmented into blocks prior to being embedded in the cover video. These blocks are then embedded in pseudo random locations. The locations are derived from a re-orderings of a mutually agreed upon secret key. Furthermore, the re-ordering is dynamically changed with each video frame to reduce the possibility of statistically identifying the locations of the secret message blocks, even if the original cover video is made available to the interceptor. The paper also presents a quantitative evaluation of the model using four types of secret data. The model is evaluated in terms of both the average reduction in Peak Signal to Noise Ratio (PSNR) compared to the original cover video; as well as the Mean Square Error (MSE) measured between the original and steganographic files averaged over all video frames. Results show minimal degradation of the steganographic video file for all types of data, and for various sizes of the secret messages. Finally, an estimate of the embedding capacity of a video file is presented based on file format and size.
机译:本文介绍了一个隐写模型,它利用覆盖视频文件隐藏其他敏感数据的存在,无论其格式如何。所呈现的模型基于彩色原始视频文件的像素方面操纵以嵌入秘密数据。在嵌入封面视频之前,秘密消息被分段为块。然后将这些块嵌入伪随机位置。该位置从秘密密钥的相互协议的重新排序导出。此外,即使原始覆盖视频可用于拦截器,可以利用每个视频帧动态地改变重新排序,以减少统计识别秘密消息块的位置的可能性。本文还呈现了使用四种类型的秘密数据对模型的定量评估。与原始覆盖视频相比,根据峰值信号的平均降低(PSNR)的平均降低评估模型;以及在所有视频帧上平均的原始和隐写文件之间测量的均方误差(MSE)。结果显示了所有类型数据的隐写视频文件的降低最小,以及各种尺寸的秘密消息。最后,基于文件格式和大小来呈现视频文件的嵌入容量的估计。

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