Multimedia Security in Audio Signal

The security of Digital media has been varying continuously due to advanced malware attacks. Multimedia security has become one of the major concerns since new technologies are introduced. The proposed paper applied the watermarking technique in digital audio signals in which unique data is inserted in one-dimensional data in such a way that it must not affect the major information of the audio signal. The hybrid decomposition scheme has been applied to the audio data in order to extract features in terms of energy bands. The data is kept hidden in a low significant energy band that contains less information. This watermarking technique ensures the ownership of the multimedia data. Only authorized authors can be able to claim ownership of the audio data. The correct authorization of audio data can be proven by the extraction method in which the hidden watermark data has been extracted back to its original form without leaving any distortion in audio data. The proposed work introduces a hybrid approach to watermarking 2D data into an audio file. A hybrid audio decomposition technique was introduced by the proposed scheme in which a dual form of audio decomposition method has been applied containing Fast Fourier transform (FFT) and Cordic QR scheme. The correct location from the energy band has been found to embed the watermark data. Before the embedding procedure, the watermarking data has been selected. The proposed method selects an image containing information as a watermark that is first encrypted before initiating the embedding process. Watermark Encryption has been done using a cyclic coding algorithm and Arnold’s cat map. The disintegration of the audio file will finally result in Q and R matrices. Both such matrices are of orthogonal type. Then, the encrypted watermark data has been implanted in a random fashion in the R component of decomposed audio data during the embedding process. The inverse procedure has been applied for the watermark extraction and decryption process.

Keywords: Fast fourier transformation, Q-R cordic decomposition, Watermarking in audio signals, Watermark encryption, Watermark embedding, Water- mark extraction.