Distributed steganalysis of compressed speech-Reference-Cited by-同舟云学术

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Distributed steganalysis of compressed speech

Published:2015-08-06 Issue:3 Volume:21 Page:795-804
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Tian Hui,Wu Yanpeng,Cai Yiqiao,Huang Yongfeng,Liu Jin,Wang Tian,Chen Yonghong,Lu Jing

Funder

Natural Science Foundation of China

Natural Science Foundation of Fujian Province of China

Education and Science Research Program for Young and Middle-aged Teacher of Fujian Province of China

Promotion Program for Young and Middle-aged Teacher in Science and Technology Research of Huaqiao University

Program for Science & Technology Innovation Teams and Leading Talents of Huaqiao University

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-015-1816-0.pdf

Reference37 articles.

1. Bao C, Huang Y, Zhu C (2006) Steganalysis of compressed speech. In: Proceedings of the international multi-conference on computational engineering in systems applications, vol 1. IEEE, pp 5–10. doi: 10.1109/CESA.2006.4281614

2. Bai LY, Huang Y, Hou G, Xiao B (2008) Covert channels based on jitter field of the rtcp header. In: Proceedings of the 4th international conference on intelligent information hiding and multimedia signal processing. IEEE, pp 1388–1391. doi: 10.1109/IIH-MSP.2008.169

3. Cai Y, Wang J, Chen Y, Wang T, Tian H, Luo W (2014) Adaptive direction information in differential evolution for numerical optimization. Soft Comput 1–30. doi: 10.1007/s00500-014-1517-0

4. Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):27. doi: 10.1145/1961189.1961199

5. Castiglione A, Santis AD, Soriente C (2007) Taking advantages of a disadvantage: digital forensics and steganography using document metadata. J Syst Softw 80(5):50–764

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3. Steganalysis of Compressed Speech Based on Global and Local Correlation Mining;IEEE Access;2022

4. Detection of Multiple Steganography Methods in Compressed Speech Based on Code Element Embedding, Bi-LSTM and CNN With Attention Mechanisms;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2021

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