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Research on Potentialities of Audio Information Recovery from Video Without Audio Track

机译:没有音轨的视频中音频信息恢复潜力的研究

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摘要

The article analyzed the possibility of the appearance of an acoustic information leakage channel that is formed by analyzing the video stream on the video record. The authors investigated the possibilities of speech recovery from a low quality recording, determined by the signal-to-noise ratio (SNR), sampling frequency, number of quantization levels, and clipping level, taking into account the features of the leakage channel under study. As a result, the required frame rate of the video image, the minimum SNR, the number of quantization levels, and a sufficient dynamic displacement range of the oscillating object are determined. The authors also investigated the requirements for the leakage channel parameters and possible ways for an attacker to improve its quality. The requirements for the displacement of an object oscillating under the action of acoustic waves in a video were calculated. The article justified the potential of reducing the requirements for the displacement of an object by applying averaging of a large number of different points on the object. The authors performed an assessment of the existing noise reduction software for sound recordings, which is used to increase the intelligibility of the message that is intercepted by the attacker in the considered information leakage channel. Obtained results revealed that there are potential causes for the leakage of acoustic information by analyzing the video stream on the video. The conditions for the emergence of such a channel are not excessive. Therefore, the possibility of its appearance is a security risk and it is necessary to provide the means to protect the object of information activity from it.
机译:该文章分析了通过分析视频记录上的视频流而形成的声音信息泄漏通道的可能性。作者研究了低质量录音的语音恢复的可能性,该质量取决于信噪比(SNR),采样频率,量化级别数和削波级别,同时考虑了正在研究的泄漏通道的特征。结果,确定了视频图像的所需帧率,最小SNR,量化级的数量以及振动物体的足够的动态位移范围。作者还调查了泄漏通道参数的要求以及攻击者提高其质量的可能方法。计算了在声波作用下视频中振动的物体位移的要求。该文章证明了通过对对象上的大量不同点求平均值来降低对象位移要求的潜力。作者对现有的声音记录降噪软件进行了评估,该软件用于提高攻击者在考虑的信息泄漏通道中截获的消息的清晰度。所得结果表明,通过分析视频上的视频流,可能会导致声学信息泄漏。出现这种渠道的条件并不过度。因此,其出现的可能性是安全隐患,并且有必要提供一种手段来保护信息活动对象免受其侵害。

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