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

机译:能量感知加密,用于在多媒体互联网上保护视频传输

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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:已经提出了高效视频编码(HEVC)加密,已经提出加密帧内预测模式(结构信息),变换系数(纹理信息)和运动相关码字(运动信息)最近接受了相当大的关注。但是,当HEVC加密应用于多媒体事物(IOMT)的Internet时,仍有效率问题。针对这一挑战,本文提出了一种新的低开销HEVC加密方案,用于能量受阻IOMT。具体地,所提出的方案调整根据每个帧中存在的结构,纹理和运动能量加密的上述语法元素的选择。它的工作方式如下。计算量化系数和运动矢量的能量水平,并与自适应阈值进行比较,以对每个视频帧中的能级进行分类。当视频中存在高能量帧时,所有语法元素都被加密。当存在低能量帧时,加密备用语法元素以实现低加密开销。此外,在变换系数的情况下,为了承受插值攻击,在将帧与其相邻系数相关联之后加密替代系数。进行了广泛的实验,结果表明,所提出的方案有效地降低了对安全水平影响的低影响的加密开销,使其适用于IOMT。

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