Audio steganography using tone insertion technique

Abstract

There are many techniques of Audio Steganography can be implemented into audio. This thesis focuses on the frequency masking in audio by using tone insertion method. Inserting tones at known frequencies and at low power level (depends on the original audio power) then modulate the secret massage into this inserted tone. The hidden information is imperceptible so a listener is unable to distinguish between the cover- and the stego-audio signal. So the cover is audio and the hidden data (secret massage) is the English language text document. The proposed method focuses on the payload of the host audio with no disruption of robustness and imperceptible. The payload has been increased using new algorithm relay on new stego-table and using frequent pattern detection into ANSI code. There are twelve experiments in this thesis. Two cover audio has been used to conceal different text size (130 and 518 byte). Every time the host audio has been changed using different sample rate, different recording environment (clean or noise) and different audio segmentation length. The total numbers of experiments are twelve. The proposed method has been tested using security metrics peak signal-to-noise ratio (PSNR) and mean squared error (MSE). The experiments showed that the proposed method increased the payload by 165% compared with the latest related works.