An Improved Phase Coding Audio Steganography Algorithm

TL;DR

This paper introduces an improved phase coding audio steganography algorithm that dynamically segments audio signals to embed data securely, enhancing resistance to detection and simplifying computation for verifying audio authenticity.

Contribution

The paper proposes a novel phase coding method with dynamic segmentation to improve security and efficiency in audio steganography.

Findings

Enhanced resistance to steganalysis attacks

Simplified computational process

Secure embedding of information in mid-frequency phase components

Abstract

Advances in AI technology have made voice cloning increasingly accessible, leading to a rise in fraud involving AI-generated audio forgeries. This highlights the need to covertly embed information and verify the authenticity and integrity of audio. Digital Audio Watermarking plays a crucial role in this context. This study presents an improved Phase Coding audio steganography algorithm that segments the audio signal dynamically, embedding data into the mid-frequency phase components. This approach enhances resistance to steganalysis, simplifies computation, and ensures secure audio integrity.