A New Steganographic Algorithm for Hiding Messages in Music

Steganography in audio files usually revolves around well-known concepts and algorithms, least significant bit algorithm to name one. This paper pro-poses a new, alternative approach where steganographic information is con-nected with the medium even more – by using the medium itself as the infor-mation. The goal of this paper is to present a new aspect of steganography, which utilizes machine learning. This form of steganography may produce sta-tistically indeterminable steganographic files which are immune to brute force attempts at trying to retrieve the hidden messages. Then the proposed solution is verified against statistical analysis and brute force attacks with promising results