Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{194703,
author = {Faiz Javed Nadaf and Mohammad Soban Aslam Naik and Mujib Jamil Shaikh and Mohammad Ayaan imraan Ansari},
title = {AI-Integrated Image Steganography System for Secure Communication},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {10},
pages = {5627-5630},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=194703},
abstract = {The increasing use of digital communication has raised concerns about the security of sensitive information transmitted over networks. Steganography is a technique used to conceal secret data inside digital media such as images, audio, or video files. This paper presents the development of an AI Integrated Image Steganography Toolbox, a web-based system that allows users to hide and extract secret messages within digital images. The proposed system utilizes image processing techniques and steganographic algorithms such as the Least Significant Bit (LSB) method to embed secret messages into image pixels without significantly affecting visual quality. The toolbox provides a user-friendly interface where users can upload images, encode hidden messages, and later decode them when required. This approach enhances data security and enables secure communication over public networks.},
keywords = {Steganography, Image Processing, Information Hiding, Data Security, LSB Algorithm},
month = {March},
}
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