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Covert Voice over Internet Protocol communications with packet loss based on fractal interpolation

机译:基于分形插值的秘密因特网协议通信与丢包

摘要

The last few years have witnessed an explosive growth in the research of information hiding in multimedia objects, but few studies have taken into account packet loss in multimedia networks. As one of the most popular real-time services in the Internet, Voice over Internet Protocol (VoIP) contributes to a large part of network traffic for its advantages of real time, high flow, and low cost. So packet loss is inevitable in multimedia networks and affects the performance of VoIP communications. In this study, a fractal-based VoIP steganographic approach was proposed to realise covert VoIP communications in the presence of packet loss. In the proposed scheme, secret data to be hidden were divided into blocks after being encrypted with the block cipher, and each block of the secret data was then embedded into VoIP streaming packets. The VoIP packets went through a packet loss system based on Gilbert model which simulates a real network situation. And a prediction model based on fractal interpolation was built to decide whether a VoIP packet was suitable for data hiding. The experimental results indicated that the speech quality degradation increased with the escalating packet-loss level. The average variance of speech quality metrics (PESQ score) between the "no-embedding" speech samples and the “with-embedding” stego-speech samples was about 0.717, and the variances narrowed with the increasing packet-loss level. Both the average PESQ scores and the SNR values of stego-speech samples and the data retrieving rates had almost the same varying trends when the packet-loss level increased, indicating that the success rate of the fractal prediction model played an important role in the performance of covert VoIP communications.
机译:在过去的几年中,多媒体对象信息隐藏的研究有了爆炸性的增长,但是很少有研究考虑到多媒体网络中的分组丢失。作为互联网上最流行的实时服务之一,互联网协议语音(VoIP)凭借其实时性,高流量和低成本的优势,在网络流量中占了很大比重。因此,丢包在多媒体网络中是不可避免的,并且会影响VoIP通信的性能。在这项研究中,提出了一种基于分形的VoIP隐写方法,以在存在丢包的情况下实现秘密VoIP通信。在提出的方案中,将要隐藏的秘密数据用块密码加密后分为多个块,然后将每个秘密数据块嵌入VoIP流数据包中。 VoIP数据包经过了基于Gilbert模型的数据包丢失系统,该系统模拟了实际的网络情况。并建立了基于分形插值的预测模型来确定VoIP数据包是否适合数据隐藏。实验结果表明,语音质量的下降随着丢包水平的提高而增加。 “无嵌入”语音样本和“有嵌入”隐秘语音样本之间的语音质量度量(PESQ分数)的平均方差约为0.717,并且随着丢包水平的提高,方差变窄。当丢包率增加时,隐秘语音样本的平均PESQ得分和SNR值以及数据检索率几乎都具有相同的变化趋势,这表明分形预测模型的成功率在性能中起着重要作用。秘密VoIP通信。

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