Speech steganography using wavelet and Fourier transforms

Rekik, Siwar; Guerchi, Driss; Selouani, Sid‐Ahmed; Hamam, Habib

doi:10.1186/1687-4722-2012-20

Cited by 53 publications

(32 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Information of non-LSB methods are presented in Table 3. These methods include: Addition Method (AM) [10], Amplitude Modulation (AMod) [40], DWT-FFT [41], DWT fusion [42], Mp3Stego [43], Publimark [30], Quantization Index Method (QIM) [10], Stego wave [44], Stochastic Modulation (StMod) [45], WaSpStego [15], Wavelet LSB [10], Integer wavelet (I-Wavelet) [46], and DSSS in the frequency domain (DSSS + DCT) [47]. Table 4 presents the embedding algorithms that each paper has investigated.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive review of audio steganalysis methods

Ghasemzadeh

Kayvanrad

2018

IET signal process.

View full text Add to dashboard Cite

Recently, merging signal processing techniques with information security services has found a lot of attention. Steganography and steganalysis are among those trends. Like their counterparts in cryptology, steganography and steganalysis are in a constant battle. Steganography methods try to hide the presence of covert messages in innocuouslooking data, whereas steganalysis methods try to break steganography algorithms and reveal the existence of hidden messages. The stream nature of audio signals, their popularity, and their wide spread usage make them very good candidates for steganography. This has led to a very rich literature on both steganography and steganalysis of audio signals. This paper intends to conduct a comprehensive review of audio steganalysis methods aggregated over near fifteen years. To that end, both compressed and con-compressed methods are reviewed, and then their important details are presented in different tables. Furthermore, some of the most recent audio steganalysis methods (both non-compressed and compressed ones) are implemented and comparative analyses on their performances are conducted. Finally, the paper provides some possible directions for future researches on audio steganalysis.

show abstract

Section: Discussionmentioning

confidence: 99%

Comprehensive review of audio steganalysis methods

Ghasemzadeh

Kayvanrad

2018

IET signal process.

View full text Add to dashboard Cite

show abstract

“…A new method to secure speech communication using the discrete wavelet transforms (DWT) and the fast Fourier transform is presented in [10]. In the first phase of the hiding technique, the speech high-frequency components from the low-frequency components using the DWT are separated.…”

Section: Related Workmentioning

confidence: 99%

Hiding Secret Information Using LSB Based Audio Steganography

Binny

Koilakuntla

2014

2014 International Conference on Soft Computing and Machine Intelligence

View full text Add to dashboard Cite

Audio signals have a characteristic redundancy and unpredictable nature that make them ideal to be used as a cover to hide secret information. A Steganographic technique for embedding text information in audio using LSB based algorithm is presented in this paper. In the proposed method each audio sample is converted into bits and then the text data is embedded. In embedding process, first the message character is converted into its equivalent binary. By using proposed LSB based algorithm, the capacity of stego system to hide the text increases. The performance of the proposed algorithm is computed using SNR values for various audio input.

show abstract

“…But the security is not maintained. Rekik et al [5] have provided security to speech communication based on DWT and Fast Fourier Transform. Alturkia et al [6] have proposed hiding the data using DCT Phase modulation.…”

Section: Introductionmentioning

confidence: 99%

Data hiding in gray scale images using Integer Wavelet Transform

Maheswari

Hemanth

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

View full text Add to dashboard Cite

This paper presents a novel data hiding using Integer Wavelet Transform (IWT) through lifting scheme that aims to achieve high quality of stego image. This method transforms a spatial domain cover image into a frequency domain cover image. It hides the secret message into detail coefficients (CH,CV,CD) of IWT by construct a binary image in any of selected bit in CH, CV, CD separately and compresses that bit by using arithmetic coding. This method is very simple and effective.

show abstract

Speech steganography using wavelet and Fourier transforms

Cited by 53 publications

References 21 publications

Comprehensive review of audio steganalysis methods

Comprehensive review of audio steganalysis methods

Hiding Secret Information Using LSB Based Audio Steganography

Data hiding in gray scale images using Integer Wavelet Transform

Contact Info

Product

Resources

About