An implementation of speech steganography for iLBC by using fixed codebook

Wu, Zhijun; Yongpeng, Sha

doi:10.1109/compcomm.2016.7925046

Cited by 9 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance parameter for this criterion consists of objective quality that calculated by formula or model and subjective quality that is taken from survey to several persons. In [6] authors used codebook techniques to embed watermark data in frequency domain. He used log spectrum for embedding data.…”

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach

Rao¹,

Jayasree²,

Rao³

2021

Soft Comput

View full text Add to dashboard Cite

In the last two decades, it has been observed that there have been remarkable advancements in digital media communication. It has lots of advantages and business potential as it needs no physical media or transport. However, digital media can also create several big problems for media owners due to unauthorized use, ease of replication, plasticity, and equivalence of works in digital form. The possible solution is to secure digital media by cover writing which can also referred as steganography. Therefore, this article focusing on development of hybrid speech steganography system using spread spectrum-based redundant discrete wavelet transform (SS-RDWT). In general, speech steganography utilizes cover speech to embed the secrete message, however, the cover speech might be larger in size and contains many pauses, which requires more storage capacity, higher computational time, and even higher power usage results in system performance degradation. Hence, in addition to the proposed SS-RDWT approach, an intelligent pause detection protocol (IPDP) with maximum likelihood estimation (MLE) technique is employed for removing pause from cover speech signal, which reduces the transmission bandwidth, storage capacity and power consumption as well. Simulation results demonstrate that proposed hybrid steganography using integrated SS-RDWT with IPDP-MLE approach obtained superior performance as compared to state-of-art approaches.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach

Rao¹,

Jayasree²,

Rao³

2021

Soft Comput

View full text Add to dashboard Cite

show abstract

“…How to exploit the redundancy existing in the encoding process to achieve steganography is a new research hotspot. Some methods which embed secret messages into the bitstream during the encoding process have been proposed, such as quantization index modulation (QIM) steganography [4][5][6], fixed codebook (FCB) steganography [7][8][9], and pitch modulation (PM) steganography [10,11].…”

Section: Introductionmentioning

confidence: 99%

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network

Guo

Yang

Shuai

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

Traditional machine learning-based steganalysis methods on compressed speech have achieved great success in the field of communication security. However, previous studies lacked mathematical modeling of the correlation between codewords, and there is still room for improvement in steganalysis for small-sized and low embedding rate samples. To deal with the challenge, we use Bayesian networks to measure different types of correlations between codewords in linear prediction code and present F3SNet—a four-step strategy: embedding, encoding, attention, and classification for quantization index modulation steganalysis of compressed speech based on the hierarchical attention network. Among them, embedding converts codewords into high-density numerical vectors, encoding uses the memory characteristics of LSTM to retain more information by distributing it among all its vectors, and attention further determines which vectors have a greater impact on the final classification result. To evaluate the performance of F3SNet, we make a comprehensive comparison of F3SNet with existing steganography methods. Experimental results show that F3SNet surpasses the state-of-the-art methods, particularly for small-sized and low embedding rate samples.

show abstract

“…How to exploit redundancy existing in the encoding process to achieve steganography is a new research hotspot. Some methods which embed secret messages into the bitstream during the encoding process have been proposed, such as quantization index modulation (QIM) steganography [4,5,6], fixed codebook (FCB) steganography [7,8,9] and pitch modulation (PM) steganography [10,11].…”

Section: Introductionmentioning

confidence: 99%

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network

Guo¹,

Yang²,

Huang³

2021

Preprint

View full text Add to dashboard Cite

Traditional machine learning-based steganalysis methods on compressed speech have achieved great success in the field of communication security. However, previous studies lacked mathematical description and modeling of the correlation between codewords, and there is still room for improvement in steganalysis for small-sized and low embedding rates sample. To deal with the challenge, We use Bayesian networks to measure different types of correlations between codewords in linear prediction code and present F3SNet -a four-step strategy: Embedding, Encoding, Attention and Classification for quantizaition index modulation steganalysis of compressed speech based on Hierarchical Attention Network. Among them, Embedding converts codewords into high-density numerical vectors, Encoding uses the memory characteristics of LSTM to retain more information by distributing it among all its vectors and Attention further determines which vectors have a greater impact on the final classification result. To evaluate the performance of F3SNet, we make comprehensive comparison of F3SNet with existing steganography methods. Experimental results show that F3SNet surpasses the state-of-the-art methods, particularly for small-sized and low embedding rate samples.

show abstract

An implementation of speech steganography for iLBC by using fixed codebook

Cited by 9 publications

References 7 publications

RETRACTED ARTICLE: Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach

RETRACTED ARTICLE: Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network

Contact Info

Product

Resources

About