ABSTRACT
Steganography plays a critical role in modern cybersecurity by concealing the existence of sensitive data within seemingly innocent media, such as images. This paper introduces a novel technique for data embedding using Discrete Wavelet Transform (DWT), which enables the embedding of multiple color images into a single cover image while maintaining high security. The proposed method involves decomposing both the cover and secret images into their Red, Green, and Blue (RGB) color planes. By applying N-level DWT decomposition, frequency components of the cover and secret images are merged in a way that minimizes perceptible changes to the cover image. The secret images are later extracted from the resulting stego image. This approach ensures that the changes in the cover image are subtle, preserving its visual integrity while providing robust security for the hidden data. The method demonstrates high effectiveness in securing sensitive information with minimal perceptual distortion, making it a promising technique for applications in digital steganography and information security.
Keywords:Steganography, Discrete Wavelet Transform (DWT), Image Embedding, Cybersecurity, Data Hiding, Frequency Domain, RGB Color Planes, N-Level Decomposition, Information Security, Digital Steganography.


OBJECTIVES
1. To develop a secure steganographic technique using Discrete Wavelet Transform (DWT) for embedding multiple color images into a single cover image.
2. To ensure minimal perceptibility of the embedded data by strategically placing secret images in different frequency components of the cover image.
3. To enhance data security and robustness against common attacks such as compression, noise addition, and filtering.
4. To improve data capacity and efficiency by utilizing multi-level DWT decomposition for embedding multiple secret images.
5. To evaluate the performance of the proposed method in terms of imperceptibility, security, and extraction accuracy.