A New Approach of Reversible Acoustic Steganography for Tampering Detection

Progress in signal-processing technology has increased the possibility of malicious attacks and tampering with digital content. We propose a new approach that uses steganography for tampering detection and reversible data hiding. We compute the feature value of the cover data. After applying an Integer Discrete Cosine Transform (intDCT) Type-IV to the cover data, we use amplitude expansion in the high-frequency spectrum to create an embedding space for the feature data and extra payload data in the DCT domain. The extracted feature data are compared with the original hash value to determine if there has been any malicious modification. The adaptive amplitude optimization prevents overflow and underflow of the amplitudes of the stego signal while preserving the reversibility property of the system. Cover data (original audio) are reversible and available if required. This scheme is meant to protect acoustic data of probative importance from illegal usage and to detect any malicious tampering.