Audio Watermarking dengan Menggunakan Metode Random Steganography Algorithm

Abstract

Audio watermarking is crucial due to its vulnerability to copyright infringement, where unauthorized use and theft can harm the rights of the owner. A Random Steganography Algorithm is proposed to safeguard music ownership by using an Application Generator to create two unique new applications: the Effector and the Receptor. These applications differ each time they are generated, utilizing a Pseudo Random Number Generator (PRNG). The Effector application embeds a secret message, containing the owner's logo and usage rights, from the cover audio into the stego audio. This secret message is randomly embedded up to the fourth bit of the Least Significant Bit (4-LSB). The stego audio produced by the Effector is marked to prevent re-embedding. The Receptor application serves as proof of ownership for the stego audio and will display the owner's logo and usage rights if a match occurs. The robustness of the Random Steganography Algorithm against LSB attacks ensures that the embedded information remains intact and visible. This study highlights the potential of the Random Steganography Algorithm as a powerful and efficient solution for protecting digital audio copyrights. The proposed method offers better security and effectiveness in audio steganography.