Embedding Text in Audio Steganography System using Advanced Encryption Standard, Text Compression and Spread Spectrum Techniques in Mp3 and Mp4 File Formats

Abstract

Hiding text in a digital audio file format has been a major challenge because of the Human Auditory System (HAS) and how the digital audio will be converted into analog form for text to be embedded into it. Several techniques that include but are not limited to Least Significant Bit, Echo Hiding, Phase Coding, Parity Coding and so on have been proposed in both research communities and the academia. Audio steganography hides data in selected audio files. Several audio steganography works exist, but their major limitations include their inability to embed information in multiple audio file formats, high distortion rate and low level of robustness of their resultant stego files. This research attempts to proffer solution to the obvious challenges of the previous works by developing an efficient and robust audio steganography system for the security of information whether in store or on transit across the Internet. Results of performance evaluation of the developed system shows that it has very low level of distortion as revealed by the Signal to Noise Ratio (SNR). The compression ratio obtained is also equal to one (1), which shows that the cover audio file is identical to the resultant stego file.