SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon Coding
Under review in Asian Conference on Pattern Recognition (ACPR 2025), 2025
Citation (IEEE format): S. R. Raiyan and M. H. Kabir, “SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon Coding,” arXiv preprint arXiv:2503.12368, 2025.
arXiv PDF Code/Data @article{raiyan2025screedsolo,
title={SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon Coding},
author={Raiyan, Syed Rifat and Kabir, Md Hasanul},
journal={arXiv preprint arXiv:2503.12368},
year={2025}
}
Authors: Syed Rifat Raiyan, Md. Hasanul Kabir.
Abstract: Image steganography is an information-hiding technique that involves the surreptitious concealment of covert informational content within digital images. In this paper, we introduce SCReedSolo, a novel framework for concealing arbitrary binary data within images. Our approach synergistically leverages Random Shuffling, Fernet Symmetric Encryption, and Reed-Solomon Error Correction Codes to encode the secret payload, which is then discretely embedded into the carrier image using LSB (Least Significant Bit) Steganography. The combination of these methods addresses the vulnerability vectors of both security and resilience against bit-level corruption in the resultant stego-images. We show that our framework achieves a data payload of 3 bits per pixel for an RGB image, and mathematically assess the probability of successful transmission for the amalgamated n message bits and k error correction bits. Additionally, we find that SCReedSolo yields good results upon being evaluated with multiple performance metrics, successfully eludes detection by various passive steganalysis tools, and is immune to simple active steganalysis attacks. Our code and data are available at this https URL.