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A secure and robust video steganography scheme for covert communication in H.264/AVC

机译:用于H.264 / AVC中的隐蔽通信的安全且坚固的视频隐图案

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摘要

The proposed scheme utilized H.264/AVC video format for steganography which is the most common video standard at present. The scheme employed Discrete Wavelet Transform (DWT) on the Region of Interest (ROI) based on multiple moving objects tracking. After tracking multiple objects, each object is embedded with different secret images to improve the capacity. Multiple object tracking helps in achieving robustness and security; in addition, secret data is encrypted before embedding to provide a high level of security. The proposed scheme is tested on numerous video sequences by evaluating both subjective and objective metrics. Different metrics employed for objective evaluation involves Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity (SSIM) Index, Normalized Cross Correlation (NCC) and Bit Error Rate (BER). However, subjective evaluation is carried out by visual inspection. Additionally, the proposed scheme has been tested against noise, compression, frame rate change and scaling attacks to ensure robustness. Further, the security performance has been analysed by testing against three existing steganalysis techniques and histogram analysis. The main aim of the paper is to focus on robustness and security without compromising hiding capacity and imperceptibility. The reckoning result proves not only high robustness and security but also improves imperceptibility and capacity.
机译:该方案利用H.264 / AVC视频格式的隐写术目前是最常见的视频标准。该方案基于多个移动物体跟踪在利息区域(ROI)上采用离散小波变换(DWT)。跟踪多个对象后,每个对象都嵌入不同的秘密图像以提高容量。多个对象跟踪有助于实现稳健性和安全性;此外,在嵌入之前加密秘密数据以提供高水平的安全性。通过评估主观和客观度量来测试所提出的方案在众多视频序列上进行测试。用于客观评估的不同指标涉及峰值信号到噪声比(PSNR),均方误差(MSE),结构相似性(SSIM)索引,标准化的跨相关性(NCC)和误码率(BER)。但是,主观评估通过目视检查进行。此外,所提出的方案已经针对噪声,压缩,帧速率变化和缩放攻击进行了测试,以确保鲁棒性。此外,通过对三种现有的隐分技术和直方图分析进行测试,分析了安全性能。本文的主要目的是专注于鲁棒性和安全性,而不会影响隐藏能力和难以察觉。估算结果不仅证明了高稳健性和安全性,而且还提高了难以察觉和能力。

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