Adaptive Voice-over-IP Steganography Based on Quantitative Performance Ranking

TIAN Hui; GUO Shu-ting; QIN Jie; HUANG Yong-feng; CHEN Yong-hong; LU Jing

doi:10.3969/j.issn.0372-2112.2016.11.024

您当前的位置：

首页 >

文章列表页 >

Adaptive Voice-over-IP Steganography Based on Quantitative Performance Ranking

更新时间：2025-07-16

- Adaptive Voice-over-IP Steganography Based on Quantitative Performance Ranking
- Acta Electronica Sinica Vol. 44, Issue 11, Pages: 2735-2741(2016)
- 作者机构：
  
  1. 华侨大学计算机科学与技术学院,福建,厦门,361021
  2. 清华大学电子系,北京,100084
  3. 华侨大学网络技术中心,福建,厦门,361021
  4. 华侨大学计算机科学与技术学院,福建,厦门,361021
  5. 清华大学电子系,北京,100084
  6. 华侨大学网络技术中心,福建,厦门,361021
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2016.11.024
  CLC： TP309
- Published Online：25 November 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
TIAN Hui, GUO Shu-ting, QIN Jie, et al. Adaptive Voice-over-IP Steganography Based on Quantitative Performance Ranking[J]. Acta Electronica Sinica, 2016, 44(11): 2735-2741.
DOI：

TIAN Hui, GUO Shu-ting, QIN Jie, et al. Adaptive Voice-over-IP Steganography Based on Quantitative Performance Ranking[J]. Acta Electronica Sinica, 2016, 44(11): 2735-2741. DOI： 10.3969/j.issn.0372-2112.2016.11.024.

摘要

论文以客观语音质量评价和信噪比为量化手段，分析了参数编码中语音帧的每个比特位对重构语音质量影响的不均衡性，并提出了一种载体可隐藏位的分级方案，以达到充分利用各载体位的目的.以此为基础，进一步提出了一种基于载体位置分级的自适应IP语音隐写方法.该方法可自适应地选择最佳的隐写位置，以提高隐蔽通信的不可感知性.以大量的语音样本为载体，对提出的方法进行了实验验证.结果表明，本文的分级方案是正确可行的，且提出的分级隐写方法较之传统方法具有更好的隐写性能.

Abstract

In this paper

we first analyze the unequal impacts of various cover bits on the quality of decoded speech for parameter codecs

and further design a ranking scheme for available cover bits to utilize the cover fully.Moreover

we present an adaptive VoIP steganography based upon the performance ranking of cover bits

which can adaptively choose the optimal steganographic positions to enhance the imperceptibility of covert communications.The proposed methods are evaluated and tested with a large number of speech samples as the cover.The experimental results show that the proposed ranking scheme is sound and feasible

and the presented steganogaphic method also outperforms the existing ones.

关键词

Keywords

references

Views

333

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

New System of Multi-modal Information Hiding Based on Big Data Environment

A Robust Reversible Watermarking Scheme Using IWT and Adaptive Pseudo-Zernike Moment

Behavior Steganography in Social Networks Based on 0-1 Knapsack Algorithm

Steganalysis of Spread Spectrum Image Steganography Based on High-Order Markov Chain Model

Lossless Digital Watermarking Technology for Vector Maps

Related Author

GUO Yun-biao

LI Peng-chao

HUANG Dian-zhong

ZHANG Jing-fei

ZHANG Ru

XIA Zhi-hua

GAO Guang-yong

HUA Feng

Related Institution

China General Technology Research Institute

School of Cyberspace Security, Beijing University of Posts and Telecommunications

Beijing Institute of Electronics Technology and Application

China General Technology Research Institute Beijing China

School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing China

⁰