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基于常见压缩语音编解码器调制的隐蔽通信信道研究

Research on covert communication channel based on modulation of common compressed speech codec.

作者信息

Li Fufang, Li Binbin, Huang Yongfeng, Feng Yuanyong, Peng Lingxi, Zhou Naqin

机构信息

School of Computer Science and Educational Software, Guangzhou University, Guangzhou, 510006 China.

Department of Electronic Engineering, Tsinghua University, Beijing, 100084 China.

出版信息

Neural Comput Appl. 2022;34(14):11507-11520. doi: 10.1007/s00521-020-04882-y. Epub 2020 Apr 13.

DOI:10.1007/s00521-020-04882-y
PMID:32292246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7153697/
Abstract

As is well known, multimedia has been widely used in VoIP and mobile communications. Research on how to establish covert communication channel over the above popular public applications has been flourishing in recent years. This paper tries to present a novel and effective method to construct a covert channel over common compressed speech stream by embedding sense information into it. In our method, after analysing the characteristic features of the excitation pulse positions of the ITU-T G.723.1 and G.729A speech codec, we design a novel and effective covert communication channel by finely modulating the codes of excitation pulse positions of the above two codecs in line with the secret information to be hidden. To improve the embedding capacity of the proposed method, we also use all the odd/even characteristics of pulse code positions to conduct information hiding. To test and verify the proposed approach, experiments are conducted on several different scenarios. Experimental results show that our methods and algorithms perform a higher degree of secrecy and sound information embedding efficacy compared with exiting similar methods.

摘要

众所周知,多媒体已在网络电话(VoIP)和移动通信中得到广泛应用。近年来,关于如何在上述流行的公共应用上建立隐蔽通信信道的研究蓬勃发展。本文试图提出一种新颖且有效的方法,通过将感知信息嵌入普通压缩语音流来构建隐蔽信道。在我们的方法中,通过分析ITU-T G.723.1和G.729A语音编解码器的激励脉冲位置的特征,我们根据要隐藏的秘密信息对上述两种编解码器的激励脉冲位置代码进行精细调制,从而设计出一种新颖且有效的隐蔽通信信道。为提高所提方法的嵌入容量,我们还利用脉冲码位置的所有奇偶特性来进行信息隐藏。为测试和验证所提方法,在几种不同场景下进行了实验。实验结果表明,与现有的类似方法相比,我们的方法和算法具有更高的保密性和良好的信息嵌入效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/f1a1d6884750/521_2020_4882_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/47270ff6dc11/521_2020_4882_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/4cebb326d42c/521_2020_4882_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/e6a45f1e9abd/521_2020_4882_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/dfcaab8dd9bd/521_2020_4882_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/b996aab40f42/521_2020_4882_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/f1a1d6884750/521_2020_4882_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/47270ff6dc11/521_2020_4882_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/4cebb326d42c/521_2020_4882_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/e6a45f1e9abd/521_2020_4882_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/dfcaab8dd9bd/521_2020_4882_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/b996aab40f42/521_2020_4882_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be56/7153697/f1a1d6884750/521_2020_4882_Fig6_HTML.jpg

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