Publication Type : Journal Article
Publisher : Communications in Computer and Information Science
Source : Communications in Computer and Information Science, Volume 197 CCIS, Chennai, p.11-20 (2011)
ISBN : 9783642225420
Keywords : Audio data, Audio files, Audio samples, Audio steganography, Embedding distortion, File structure, High bit rates, Human perception, Least significant bits, LSB, Pixel-value differencing, Pixels, Replacement methods, Robustness against noise, Secret information, Secret messages, Semantic Web, Semantics, SNR, SNR values, Steganography, Stereo vision, User interfaces
Campus : Amritapuri
School : School of Biotechnology
Department : Bioinformatics
Year : 2011
Abstract : pIn Audio Steganography we find a way so that an audio file can be used as a host media to hide textual message without affecting the file structure and content of the audio file. In this system a novel high bit rate LSB audio data hiding and another method known as Pixel value differencing is proposed. This scheme reduces embedding distortion of the host audio. The hidden bits are embedded into the higher LSB layers resulting in increased robustness against noise addition. To avoid major differences from the cover audio and the embedded audio this algorithm helps in modifying the rest of the bits. To enlarge the capacity of the hidden secret information and to provide an imperceptible stego-audio for human perception, a pixel-value differencing (PVD) is used for embedding. The difference value of audio samples is replaced by a new value to embed the value of a sub-stream of the secret message. The method is designed in such a way that the modification is never out of the range interval. This method provides an easy way to produce a more imperceptible result than those yielded by simple least-significant-bit replacement methods. The SNR value is good for LSB scheme and the capacity is high for PVD scheme. © 2011 Springer-Verlag./p
Cite this Research Publication : R. Darsana and Asha Vijayan, “Audio steganography using modified LSB and PVD”, Communications in Computer and Information Science, vol. 197 CCIS, pp. 11-20, 2011.