NDLI: Steganalysis of Low Bit-Rate Speech Based on Statistic Characteristics of Pulse Positions

Content Provider	IEEE Xplore Digital Library
Author	Hui Tian Yanpeng Wu Yongfeng Huang Jin Liu Yonghong Chen Tian Wang Yiqiao Cai
Copyright Year	2015
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Nat. Huaqiao Univ., Xiamen, China (Hui Tian; Yanpeng Wu; Jin Liu; Yonghong Chen; Tian Wang; Yiqiao Cai) \|\| Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Yongfeng Huang)
Abstract	Steganography in low bit-rare speech streams is an important branch of Voice-over-IP steganography. From the point of preventing cybercrimes, it is significant to design effective steganalysis methods. In this paper, we present a support-vector-machine based steganalysis of low bit-rate speech exploiting statistic characteristics of pulse positions. Specifically, we utilize the probability distribution of pulse positions as a long-time distribution feature, extract Markov transition probabilities of pulse positions according to the short-time invariance characteristic of speech signals, and employ joint probability matrices to characterize the pulse-to-pulse correlation. We evaluate the performance of the proposed method with a large number of G.729a encoded samples, and compare it with the state-of-the-art methods. The experimental results demonstrate that our method significantly outperforms the previous ones on detection accuracy at any given embedding rates or with any sample lengths. Particularly, this method can successfully detect steganography employing only one or a few of the potential cover bits, which is hard to be effectively detected by the existing methods.
Starting Page	455
Ending Page	460
File Size	322912
Page Count	6
File Format	PDF
e-ISBN	9781467365901
DOI	10.1109/ARES.2015.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-24
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Markov chain low bit-rate speech Histograms Correlation Speech coding steganography Markov processes fixed codebook index Speech Joints Internet telephony steganalysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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