High capacity reversible data hiding in MP3 based on Huffman table transformation.

Area of Science:

• Computer Science
• Information Security
• Digital Forensics

Background:

• Compressed audio formats like MP3 and AAC are commonly used for data storage and transmission.
• Existing audio steganography methods often suffer from limitations such as low data embedding capacity and irreversibility.
• These drawbacks hinder effective and secure covert communication using audio files.

Purpose of the Study:

• To propose a novel method for embedding secret messages within MP3 audio files.
• To address the limitations of current audio steganography techniques, focusing on capacity, distortion, security, and reversibility.
• To leverage the characteristics of MP3 encoding for improved steganographic performance.

Main Methods:

• The proposed method embeds secret information by utilizing Huffman table transformation during the MP3 encoding process.
• Secret data is extracted by analyzing specific side information generated during the encoding process.
• The technique focuses on manipulating the MP3 encoding parameters to hide data.

Main Results:

• The experimental results demonstrate a significant improvement in steganographic capacity compared to existing methods.
• The proposed approach achieves low distortion, ensuring minimal impact on audio quality.
• High security is maintained, making the embedded information difficult to detect.
• The method offers a higher decoding rate and reversibility, outperforming several state-of-the-art techniques.

Conclusions:

• The developed Huffman table transformation method offers a superior approach to audio steganography in MP3 files.
• This technique effectively balances high embedding capacity, low distortion, and robust security.
• The reversibility and high decoding rate make it a practical and advanced solution for covert communication in digital audio.