Abstract:
An innovative audio Steganography
scheme based on optimize algorithm as
Probabilistic Global Search Lausanne (PGSL) in
modified discrete cosine transform domain
(MDCT) is proposed. Inaudibility and robustness
are two main important requirements for audio
Steganography. The major contribution of the
proposed system is to embed the secret data in
the best MDCT coefficients against secret
message detection from unauthorized users.
Embed the secret data by employing original
signal transformation with MDCT and best point
searching process through PGSL Algorithm to
achieve high inaudible and robustness. Results of
the experimental test using clean utterances from
Texas Instruments Massachusetts Institute of
Technology (TIMIT) databases and music files
show error-free data recovery from noise
addition attack stego audio. Robustness of the
system is evaluated with BER (bit error rate).
Spectrogram and Informal listening test also
showed that the distortions in the stego audio
from the original cover speech and music files is
imperceptible and inaudible even with high
payload.
