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Lossless Audio Steganography based on Lifting Wavelet Transform and Dynamic Stego Key


Affiliations
1 Electrical Engineering Department, University of Babylon, Hila, Babil, Iran, Islamic Republic of
2 Centre for Automation & Embedded Computing System, Tenaga National University (UNITEN), Kajang, Malaysia
 

This paper presents a new lossless audio steganography approach based on Integer-to-Integer Lifting Wavelet Transform (Int2Int LWT) and Least Significant Bits (LSBs) substitution. In order to increase the security level a simple encryption with adaptive key has been proposed. The experimental results show that this approach has excellent transparency (above 45 dB of signal to noise ratio) with fixed high embedding capacity (25% from the audio cover signal size) and full recovery for the hidden secret message. Furthermore, robustness tests show immunity of the method against additive noise and perceptual statistical analysis. The proposed hiding and recovery procedures are simple and symmetry; therefore it can be easily used for real-time covert communication.

Keywords

Audio Steganography, Embedding Capacity, Full Recovery, Imperceptibility, Security Lifting Wavelet Transform (LWT)
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  • Lossless Audio Steganography based on Lifting Wavelet Transform and Dynamic Stego Key

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Authors

Haider Ismael Shahadi
Electrical Engineering Department, University of Babylon, Hila, Babil, Iran, Islamic Republic of
Razali Jidin
Centre for Automation & Embedded Computing System, Tenaga National University (UNITEN), Kajang, Malaysia
Wong Hung Way
Centre for Automation & Embedded Computing System, Tenaga National University (UNITEN), Kajang, Malaysia

Abstract


This paper presents a new lossless audio steganography approach based on Integer-to-Integer Lifting Wavelet Transform (Int2Int LWT) and Least Significant Bits (LSBs) substitution. In order to increase the security level a simple encryption with adaptive key has been proposed. The experimental results show that this approach has excellent transparency (above 45 dB of signal to noise ratio) with fixed high embedding capacity (25% from the audio cover signal size) and full recovery for the hidden secret message. Furthermore, robustness tests show immunity of the method against additive noise and perceptual statistical analysis. The proposed hiding and recovery procedures are simple and symmetry; therefore it can be easily used for real-time covert communication.

Keywords


Audio Steganography, Embedding Capacity, Full Recovery, Imperceptibility, Security Lifting Wavelet Transform (LWT)



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i3%2F50268