Audio Steganography Using Matlab Project Source Code

ABSTRACT

            Steganography is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message, a form of security through obscurity. Steganography works by replacing bits of useless or unused data in regular computer files (such as graphics, sound, text, HTML, or even floppy disks ) with bits of different, invisible information. This hidden information can be plain text, cipher text, or even images. The rapid development of multimedia and internet allows for wide distribution of digital media data. It becomes much easier to edit, modify and duplicate digital information. Besides that, digital documents are also easy to copy and distribute, therefore it will be faced by many threats. It is a big security and privacy issue, it become necessary to find appropriate rotation because of the significance, accuracy and sensitivity of the information. Steganography and Cryptography are considered as one of the techniques which are used to protect the important information, but both techniques have their pro’s and con’s. In this proposed system of audio steganography we have implemented a new scheme based on mel frequency components. The mel frequency cepstrum coefficients are used for finding the unique feature audio data in audio file. The returned features provide us with highly robust and high end features with low invariance. We have used this property of MFCC in order to detect high bandwidth free space location in the sound data and have embedded the encrypted watermark image data into these MFCC components. The proposed scheme works to increase the PSNR values and reduce the error rate of hiding the data in the image and thus improves the sound quality and makes it look original.

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