Enhancing Cloud Data Security Through Watermarking Techniques in Cloud Computing
Volume: 13 - Issue: 11 - Date: 01-11-2024
Approved ISSN: 2278-1412
Published Id: IJAECESTU426 | Page No.: 101-107
Author: Ghorpade Mahesh Sanjay
Co- Author: Mr. Jeetendra Singh Yadav
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
Key Words:-Cloud computing, data security, watermarking techniques, fragile watermarking, robust watermarking, semi-fragile watermarking, encryption, access control, multi-faceted protection, scalability
Area:-Engineering
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