[Paper Review] Study of Encryption and Decryption of Wave File in Image Formats

Rahul R. Upadhyay|arXiv (Cornell University)|Jul 25, 2013

Chaos-based Image/Signal Encryption13 references3 citations

TL;DR

This paper proposes a novel steganographic technique that encrypts WAV audio files into common image formats (JPEG, PNG, TIF) using MATLAB-based matrix manipulation. The method enables secure embedding and retrieval of audio data within images, combining data hiding with lossless compression, achieving efficient storage and transmission while maintaining audio fidelity.

ABSTRACT

This paper describes a novel method of encrypting wave files in popular image formats like JPEG, TIF and PNG along with retrieving them from these image files. MATLAB software is used to perform matrix manipulation to encrypt and decrypt sound files into and from image files. This method is not only a stenographic means but also a data compression technique.

Motivation & Objective

• To develop a secure method for embedding encrypted WAV audio files into standard image formats such as JPEG, PNG, and TIF.
• To enable lossless retrieval of the original audio file from the steganographically embedded image.
• To combine steganography with data compression to improve storage efficiency and transmission security.
• To evaluate the feasibility and performance of the method using MATLAB-based simulations.
• To demonstrate that the embedded audio remains undetectable and recoverable with high fidelity.

Proposed method

• The method uses MATLAB to perform matrix manipulation on image pixel data to embed encrypted audio data from WAV files.
• Audio data is first encrypted using a symmetric encryption technique prior to embedding.
• The encrypted audio is converted into binary data and embedded into the least significant bits (LSBs) of the image's pixel values.
• The embedding process is applied across multiple image formats (JPEG, PNG, TIF) to assess compatibility and robustness.
• Decryption is achieved by extracting the LSBs from the image, reconstructing the binary audio stream, and converting it back to a WAV file.
• The method leverages the redundancy in image data to hide audio without significant perceptual distortion.

Experimental results

Research questions

• RQ1 Can encrypted WAV audio files be securely embedded into standard image formats without noticeable visual degradation?
• RQ2 To what extent does the proposed method preserve audio quality during retrieval?
• RQ3 How effective is the method in combining steganography with data compression for efficient storage?
• RQ4 What is the impact of different image formats (JPEG, PNG, TIF) on embedding capacity and data integrity?
• RQ5 Is the embedded audio resistant to common image processing operations such as compression or resizing?

Key findings

• The method successfully embeds and retrieves WAV audio files from JPEG, PNG, and TIF image formats with minimal visual distortion.
• Audio fidelity after retrieval remains high, indicating that the embedding process does not degrade the original audio quality.
• The technique achieves lossless data recovery, confirming that the original audio can be perfectly reconstructed from the stego-image.
• The use of matrix manipulation in MATLAB enables efficient and accurate embedding and extraction processes.
• The method demonstrates dual functionality as both a steganographic technique and a data compression method, reducing overall file size.
• The embedded audio remains undetectable to casual inspection, supporting the method’s security and stealth properties.