Multi Level - Secret Data Embedding in Audio Steganography

Abstract

This paper presents a novel methodology for the secure and efficient concealment of data in audio signals. The approach combines Spectrogram Pixel Value Modification (SPVM) with RSA encryption and compression using the Discrete Wavelet Transform (DWT). The ultimate goal of this proposed method is to augment data security and capacity while preserving the quality of the audio signal.

The proposed methodology initiates with RSA encryption, where the message to be obscured is encrypted using the recipient's public key, ensuring confidentiality during the data embedding process. The data is then compressed using DWT, which decomposes the signal into wavelet coefficients that provide both frequency and time localization.

To conceal the compressed and encrypted data, the wavelet coefficients are transformed into a spectrogram representation using an appropriate Fourier transform. The SPVM method is then employed to subtly modify the pixel values of the spectrogram by incorporating binary values derived from the compressed and encrypted data. This ensures seamless integration of hidden information without compromising the audio signal's integrity.

To retrieve the concealed message, the process is reversed. The SPVM method is reverted to extract the modified pixel values from the spectrogram. The extracted pixel values are converted back into wavelet coefficients, and the inverse DWT is applied to obtain the compressed and encrypted data. Finally, the recipient's private key is used to decrypt the data, revealing the original message.

The experimental results demonstrate the practicality and effectiveness of the proposed approach, showcasing its potential in secure data hiding applications, audio watermarking, and confidential communication. The combination of SPVM, RSA encryption, and DWT compression provides a comprehensive solution for robust and secure data embedding while ensuring high audio quality.