Enhancing Cloud Data Security Through Watermarking Techniques in Cloud Computing

Abstract:-– In the digital age, the security of sensitive information transmitted over cloud platforms has become increasingly crucial. This research focuses on developing a robust method for embedding confidential data within audio files without introducing noticeable alterations post-insertion. We explore the field of audio steganography as a viable solution for protecting the integrity and confidentiality of information conveyed through voice communications, particularly in insecure environments. Utilizing the Least Significant Bit (LSB) algorithm, our proposed methodology creates a stego audio file that effectively conceals and encrypts secret information. The performance of the technique is evaluated through key metrics, specifically Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE), which serve as indicators of the quality of the stego audio. Experimental results demonstrate high PSNR values and low MSE values, confirming that the embedded audio retains its original quality while facilitating a substantial amount of hidden data. The findings highlight the effectiveness of the LSB technique, especially in scenarios involving audio files with minimal variations in sound quality. This study contributes to the field of cloud data security by presenting a reliable approach for safeguarding sensitive information within audio communications, thereby enhancing data protection measures in cloud environments

---