Abstract
The weakness of Human Auditory System (HAS) led the audio steganography process to be used in hiding data in the digital sound. Audio steganography is implemented here by using Least Significant Bit (LSB) algorithm to hide message into multiple audio files. This is achieved by 1st, 2nd, 3rd, and 4th bits hiding ratios. In comparison to other used bits, hiding results show that the use of 1st bit in LSB method for embedding data is much better than those used bits as expected. In addition to that and according to the results, file’s size affects strongly upon the effectiveness of the embedding process while hiding starting position doesn’t affect upon the variation of the adopted statistical estimators regardless to which bit is used. Among the statistical estimators that have been adopted here, the Mean Absolute Error (MAE) seems to be the best one in testing hiding process.
Highlights
The process of embedding secret messages into digital sound is known as audio steganography [1]
Because of its highest capacity for data and the easiest way to implement in comparing with the other techniques, Least Significant Bit (LSB) method has been adopted in this research
The Peak Signal-to-Noise Ratio (PSNR) is the ratio between maximum possible power and corrupting noise that affect the representation of the audio file
Summary
The process of embedding secret messages into digital sound is known as audio steganography [1]. Message is the embedded information that sender wants to be confidential. This message can be represented as an image, audio, plain text or any other file’s type [2] [3]. Embedding techniques are chosen according to requirement. Some of these are LSB coding, parity coding, spread spectrum phase coding and echo hiding [5]. Because of its highest capacity for data and the easiest way to implement in comparing with the other techniques, Least Significant Bit (LSB) method has been adopted in this research
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