Abstract: Now-a-days, the network has significant roles in transferring data and knowledge quickly and accurately from sender to receiver. However, the data is still not secure enough to transfer quite confidentially. Data protection is considered as one of the principal challenges in information sharing over communication. So, steganography techniques were proposed which are the art of hiding information that prevents secret text message detection from intruders. Nevertheless, most steganography methods use low bits number of secret messages. Moreover, these methods applied a single logic gate for encrypting the secret message. Therefore, this paper proposes a new method for the encryption of secret messages based on the Huffman technique to reduce the secret message dimensions. In addition, the proposed method uses two different logic gates namely XOR and XNOR for increasing the message security. The RGB Lena image is used as the cover image of the secret message. There are six different experiments conducted with respect to various lengths of the secret messages in bits. The experimental results show that when using the highest number of bits (i.e., 66288), the proposed method achieved 0.0233 MSE, 64.4589 PSNR, 0.9999998 SSIM, and 8.2383 encryption time. The proposed method has the ability to encrypt the secret message with a high number of bits.

AL-Hasan Amer Ibrahim, Ruaa Shallal Abbas Anooz, Mohammed Ghassan Abdulkareem, Musatafa Abbas Abbood Albadr, Fahad Taha AL-Dhief, Yaqdhan Mahmood Hussein, Hatem Oday Hanoosh and Mohammed Hasan Mutar, “A New Steganography Method for Hiding Text into RGB Image” International Journal of Advanced Computer Science and Applications(IJACSA), 14(11), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141188

@article{Ibrahim2023,
title = {A New Steganography Method for Hiding Text into RGB Image},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141188},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141188},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {AL-Hasan Amer Ibrahim and Ruaa Shallal Abbas Anooz and Mohammed Ghassan Abdulkareem and Musatafa Abbas Abbood Albadr and Fahad Taha AL-Dhief and Yaqdhan Mahmood Hussein and Hatem Oday Hanoosh and Mohammed Hasan Mutar}
}