AL-Rafidain Journal of Computer Sciences and Mathematics

Abstract

Steganography art is a technique of hiding data within data, as hiding text message within an image or an audio file or a video file, it is a new method used as a substitute for the known encryption technology.
This kind of hidden messages is distinguished that they reach their destination completely confidential, unlike encrypted messages that although it can never decoded without access to the encryption key; it can be identified as an encrypted message.
In this work, a new algorithm is proposed for compression and encodes the data using Huffman coding technique, then hides them in an audio file using a secret key for the distribution of encoded data within and LSB well known approach. The output is saved in a new audio file. In the recovery phase, the values ​​are retrieved and decoded by the same method.
Results show highly accurate results as a measure auditory perception of the original file and the embedded data file as well as performance metrics knowledge (signal-to-noise ratio and the correlation coefficient and the mean square error and the peak signal to noise ratio).