An adaptive steganography scheme for voice over IP

Tian, Hui; Zhou, Ke; Jiang, Hong; Huang, Yudong; Liu, Jin; Feng, Dan

doi:10.1109/iscas.2009.5118414

Cited by 32 publications

(24 citation statements)

References 10 publications

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“…DPCF (Dynamic Point Coordination Function) scheme was proposed allowing VOIP packets to be transmitted during CP only, when more than one packet is present in an STA's queue [17].The CSR (Compressed Speaker Recognition) builds selective features directly from the already compressed VOIP packet. It reduces the requirement of memory buffer and also increases the scalability [18].Then a scheme for speech hiding was proposed in which, the hiding of a secret speech into the cover speech was done to protect the secret speech from perception [19].The performance of different audio CODECs (G.711, G.723.1, G.726 ADPCM, GSM, G.728 LC CELP, G.729 and G.729 CS-ACELP) was studied and the simulation results shows that G.723.1 audio codec in WLAN gives a least Packet end-to-end delay and Packet Delay variation and thus proved to provide an acceptable user satisfaction for WLAN VOIP [20].An adaptive steganography scheme for VOIP was proposed which proves that adaptive steganography better performs than the traditional one [21]. Since wireless means can degrade VOIP quality because of random packet losses and heavy replication be a very effective method to save these losses [22].…”

Section: Literature Backgroundmentioning

confidence: 99%

WAVELETS based wireless VOIP and its future scenario

Singh

Sohal²

2016

MATEC Web of Conferences

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Abstract. Those who use VOIP, know that a good quality service cannot be ensured over the internet as the internet is not well suited to render real time services. Besides these users do not pay much for the VOIP calls as compared to the circuit switched phone calls. So they do not bother much about the quality of services. However, it is expected that the quality should be sound enough to pay for their time as well as money. In this paper, the recently published literature has been reviewed along with the introduction to wavelets.

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Section: Literature Backgroundmentioning

confidence: 99%

WAVELETS based wireless VOIP and its future scenario

Singh

Sohal²

2016

MATEC Web of Conferences

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“…In [3], Aoki proposed a steganographic method based on the characteristics of pulse code modulation (PCMU) in which the zeroth speech sample can be represented by two codes due to the overlap. Another LSB-based method was proposed by Tian et al [38]. The authors incorporated the m-sequence technique to eliminate the correlation among secret messages to resist statistical detection.…”

Section: Related Workmentioning

confidence: 99%

“…The authors incorporated the m-sequence technique to eliminate the correlation among secret messages to resist statistical detection. A similar approach, also LSB-based, relying on adaptive VoIP steganography was presented by the same authors in [39]; a proof of concept tool, StegTalk, was also developed. In [43] Xu and Yang proposed an LSB-based method dedicated to voice transmission using the G.723.1 codec in 5.3 kbps mode.…”

Section: Related Workmentioning

confidence: 99%

Influence of speech codecs selection on transcoding steganography

2014

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The typical approach to steganography is to compress the covert data in order to limit its size, which is reasonable in the context of a limited steganographic bandwidth. Trancoding steganography (TranSteg) is a new IP telephony steganographic method that was recently proposed that offers high steganographic bandwidth while retaining good voice quality. In TranSteg, compression of the overt data is used to make space for the steganogram. In this paper we focus on analyzing the influence of the selection of speech codecs on hidden transmission performance, that is, which codecs would be the most advantageous ones for TranSteg. Therefore, by considering the codecs which are currently most popular for IP telephony we aim to find out which codecs should be chosen for transcoding to minimize the negative influence on voice quality while maximizing the obtained steganographic bandwidth.

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“…M oreover, the derivative-based approach outperforms the wavelet-based approach. Other works in the area of audio steganalysis are found in [27][28][29].…”

Section: Audio Steganography and Steganalysismentioning

confidence: 99%

"A MultiAlgorithm, High Reliability, Extensible Steganalyzer using Services Oriented Architecture"

Mahmood

Abdelfattah

2011

IJCA

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This paper presents a unified Steganalyzer that can work with different media types such as images and audios. It is also capable of providing improved accuracy in stego detection through the use of multiple algorithms. The designed system integrates different steganalysis techniques in a reliable Steganalyzer by using a Services Oriented Architecture (SOA). Other contributions of the research done in this paper include, an improved M el-Cepstrum technique for audio wav files feature extraction that results in better accuracy in stego detection (> 99.9%), improved overall classification system that is based on three individual classifiers; a Neural Network classifier, a Support Vector M achines classifier, and an AdaBoost algorithm based classifier. Finally, an extensible classifier is introduced that allows incorporation of detecting new embedding techniques to the current system, so that the framework will continue to provide reliable stego detection for future embedding algorithms.

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An adaptive steganography scheme for voice over IP

Cited by 32 publications

References 10 publications

WAVELETS based wireless VOIP and its future scenario

WAVELETS based wireless VOIP and its future scenario

Influence of speech codecs selection on transcoding steganography

"A MultiAlgorithm, High Reliability, Extensible Steganalyzer using Services Oriented Architecture"

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