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Energy-Aware Encryption for Securing Video Transmission in Internet of Multimedia Things

机译:能源加密技术可确保多媒体物联网中的视频传输安全

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摘要

High Efficiency Video Coding (HEVC) encryption, which has been proposed to encrypt intra prediction modes (structural information), transform coefficients (texture information), and motion related codewords (motion information), has received considerable attention recently. However, there is still the issue of efficiency when HEVC encryption is applied in the Internet of Multimedia Things (IoMT). Aiming at this challenge, in this paper, we propose a new low-overhead HEVC encryption scheme for energy-constrained IoMT. Concretely, the proposed scheme adjusts the selection of the aforementioned syntax elements to be encrypted according to the structure, texture, and motion energy present in each frame. It works as follows. The energy levels of quantized coefficients and motion vectors are calculated and compared with adaptive threshold values to classify the energy level in each video frame. When there is a high energy frame in the video, all the syntax elements are encrypted. When there is a low energy frame, alternate syntax elements are encrypted for achieving low encryption overhead. Moreover, in the case of transform coefficients, to withstand the interpolation attack, alternate coefficients are encrypted after correlating the frame with its neighboring coefficients. Extensive experiments were conducted, and the results demonstrate that the proposed scheme efficiently reduces the encryption overhead with low impact on the security level, making it suitable for IoMT.
机译:提出了对帧内预测模式(结构信息),变换系数(纹理信息)和与运动有关的码字(运动信息)进行加密的高效视频编码(HEVC)加密,最近受到了广泛的关注。但是,当HEVC加密应用于多媒体物联网(IoMT)时,仍然存在效率问题。针对这一挑战,本文针对能量受限的IoMT提出了一种新的低开销HEVC加密方案。具体地,提出的方案根据每个帧中存在的结构,纹理和运动能量来调整要加密的上述语法元素的选择。它的工作原理如下。计算量化系数和运动矢量的能量水平,并将其与自适应阈值进行比较,以对每个视频帧中的能量水平进行分类。当视频中存在高能量帧时,所有语法元素都会被加密。当能量帧较低时,对备用语法元素进行加密以实现较低的加密开销。此外,在变换系数的情况下,为了抵抗插值攻击,在将帧与其相邻系数相关联之后,对备用系数进行加密。进行了广泛的实验,结果表明,该方案有效降低了加密开销,并且对安全级别的影响很小,使其适合IoMT。

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