Data hiding in audio signals using wavelet transform with enhanced security

Deepti, S and Renuka, A and Hemalatha, S (2013) Data hiding in audio signals using wavelet transform with enhanced security. In: Second International Conference on Digital image processing and vision, 20th – 21st December 2013.

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Rapid increase in data transmission over internet results in emphasis on information security. Audio steganography is used for secure transmission of secret data with audio signal as the carrier. In the proposed method, cover audio file is transformed from space domain to wavelet domain using lifting scheme, leading to secure data hiding. Text message is encrypted using dynamic encryption algorithm. Cipher text is then hidden in wavelet coefficients of cover audio signal. Signal to Noise Ratio (SNR) and Squared Pearson Correlation Coefficient (SPCC)values are computed to judge the quality of the stego audio signal. Results show that stego audio signal is perceptually indistinguishable from the cover audio signal. Stego audio signal is robust even in presence of external noise. Proposed method provides secure and least error data extraction.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Audio steganography, Lifting wavelet transform, Mean square Error (MSE), SNR & SPCC
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 15 Jan 2014 10:28
Last Modified: 15 Jan 2014 10:28

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