An SVD-based adaptive robust speech steganography using MDCT coefficient

Wen, Juan; Zeng, Hao; Wang, Yuzhu; Liu, Shurong; Xue, Yiming

doi:10.1007/s11042-020-09725-5

Cited by 5 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [11] authors used blocks in the process of data embedding utilizing the psychoacoustic models using MDCT, Embedding is done in the frequency domain by first selecting signal in the time domain and the frequency domain using Gamma tone filter bank as well as selecting the watermark area at the time domain by applying a certain threshold. In order to handle synchronization, bit insertion is applied, so that the watermark is resistant to resynchronization.…”

Section: Literature Reviewmentioning

confidence: 99%

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%

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

“…I NFORMATION hiding, also known as steganography, is a technology that utilizes the sensory redundancy of human sense organ to embed secret information into the carrier in an undetected way. The choice of carriers is diverse, such as videos [1], [2], images [3], [4], audios [5], [6], speeches [7], [8], texts [9], [10], and so so. In recent years, with the rapid development of network information technology, voice over IP (VoIP) gradually plays an important role in daily communication of human beings.…”

Section: Introductionmentioning

confidence: 99%

Steganalysis of Compressed Speech Based on Global and Local Correlation Mining

et al. 2022

View full text Add to dashboard Cite

Most of the existing steganalysis methods are designed for specific steganography methods in low-bit-rate compressed speech stream and lack of generalization ability. In practical applications, the steganography methods in compressed speech are various and cannot be predicted in advance. We can only employ numerous possible steganalysis method to detect, which is laborious and time-consuming, and cannot achieve real-time detection. Therefore, it is necessary to develop a general steganalysis method that can detect multiple steganography methods simultaneously for compressed speech. To this end, we propose a steganalysis method based on global and local correlation mining in this paper. Firstly, we introduce a codeword distributed embedding module to transform the compressed codewords into a compact feature representation. Then, we propose global-guided correlation mining module and local-guided correlation mining module to extract the correlation change before and after steganography in the view of global and local. Finally, the detection results can be obtained by the full connection layers. Experimental results show that the proposed method can reach a better detection performance than the existing steganalysis methods at different embedding rates and speech lengths.

show abstract

“…S TEGANOGRAPHY is a technology that utilizes the perceptual redundancy of human senses to conduct covert communication [1]. In practical applications, the available natural carriers are various, such as texts [2], [3], speeches [4], [5], audios [6], [7], images [8], [9], videos [10], [11], etc. Owing to the characteristics of massive payloads, instantaneity and widespread popularity, Voice over Internet Protocol (VoIP) is one of the most popular carriers of covert communication [12].…”

Section: Introductionmentioning

confidence: 99%

Steganalysis of Compressed Speech Based on Association Rule Mining

Gao

Jie

2022

IEEE Access

View full text Add to dashboard Cite

Currently, steganography based on compressed speech streams is gathering more and more attention. Meanwhile, it poses a huge threat to cyber security. As a counter technique, steganalysis can detect whether an illegal secret message is embedded in a compressed speech. To further improve the detection performance of current methods, a novel steganalysis method based on codeword association rule mining (CARM) is proposed in this paper. Firstly, we analyzed the spatiotemporal relationships between codewords in compressed speech. Secondly, the steganography-sensitivity codeword association rule base in training set was built based on the confidence change of codeword association rules before and after steganography. Thirdly, the steganography characteristic index and the corresponding dynamic partition threshold in validation set were computed to determine whether the compressed speech segment contains covert communication or not. Finally, comprehensive experiments were conducted to evaluate the performance of the proposed CARM steganalysis method under various conditions, including different association rule patterns, whether to use dynamic partition threshold, different embedding rates, different speech lengths, etc. The experimental results verify that CARM can achieve better performance than the comparison methods. In addition, the detection accuracy of CARM method can be improved significantly by using dynamic partition threshold at low embedding rates.

show abstract

An SVD-based adaptive robust speech steganography using MDCT coefficient

Cited by 5 publications

References 37 publications

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

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

Steganalysis of Compressed Speech Based on Global and Local Correlation Mining

Steganalysis of Compressed Speech Based on Association Rule Mining

Contact Info

Product

Resources

About