Published Online:March 2026
Product Name:The IUP Journal of Information Technology
Product Type:Article
Product Code:IJIT030326
DOI:10.71329/IUPJIT/2026.22.1.55-67
Author Name:Ravindra Nath, Devraj and Harish Chandra Verma
Availability:YES
Subject/Domain:Engineering
Download Format:PDF
Pages:55-67
Steganography enables secure communication by embedding confidential data within digital images while preserving visual quality. This paper presents a lightweight, fully client-side image steganography system developed using HTML5, CSS3, and plain JavaScript. The proposed method employs Least Significant Bit (LSB) substitution in RGB pixel components for text embedding and extraction, eliminating server-side processing and enhancing privacy. Experimental results show high visual fidelity with PSNR values above 50 dB and SSIM greater than 0.98 for typical payloads, supporting efficient embedding with minimal distortion and execution time under one second for standard 512 × 512 images. The primary contribution of this work lies in presenting a transparent, modular, and dependency-free JavaScript framework that systematically evaluates image quality, embedding capacity, and performance metrics within a browser-only environment. By integrating quantitative analysis and performance benchmarking, the study bridges the gap between conceptual JavaScript steganography demonstrations and experimentally validated client-side implementations, demonstrating the practical viability of secure web-based steganographic communication.
The rapid growth of Internet-based services, cloud platforms, and social media has led to an unprecedented exchange of sensitive information across open communication networks. Although cryptographic techniques are widely used to ensure confidentiality, encrypted data often signals the presence of protected information, potentially attracting unwanted attention or targeted attacks.