Image steganography web application

Shariffudin, Muhammad Nur Harith and Othman, Nor Arzami Othman (2023) Image steganography web application. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 125-126. ISBN 978-629-97440-5-4

Abstract

This study for a final year project with the title Image Steganography Web Application presented in this abstract offers a user-friendly interface for securely embedding and extracting secret information within digital images. The application utilizes an advanced steganographic algorithm, which is Randomized Least Significant Bit (RLSB), to ensure robust data concealment while maintaining the visual integrity of the cover image. Users can upload their desired image, select the preferred steganographic algorithm, and encode the hidden data for added security. The web application supports encoding and decoding images for concealing data in images. To evaluate its performance, extensive testing was conducted, including embedding and extracting data using different image formats. The results demonstrated the application's effectiveness in hiding information while preserving image quality. The web application proved to be a versatile and practical tool with applications in various fields such as cryptography and digital forensics. In conclusion, the Image Steganography Web Application provides a convenient and secure solution for individuals and organizations needing to transmit sensitive data covertly within images, ensuring data privacy and integrity in an intuitive and user-friendly manner.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Shariffudin, Muhammad Nur Harith
UNSPECIFIED
Othman, Nor Arzami Othman
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 125-126
Keywords: Image Steganography, Web Application, RLSB (Randomized Least Significant Bit)
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138794
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