Stego-Image Generator (SIG) - Building Steganography Image Database

TL;DR

This paper introduces a comprehensive stego-image database generated using various RGB LSB steganographic algorithms, including detailed parameters to aid in the development and testing of steganalysis methods.

Contribution

It presents a new, detailed stego-image database with metadata like affected rows, bits modified, and channels, enhancing steganalysis research.

Findings

Provides a diverse set of stego-images from various categories.

Includes detailed parameters for each image to assist in analysis.

Facilitates improved testing of steganalysis algorithms.

Abstract

Any Universal Steganalysis algorithm developed should be tested with various stego-images to prove its efficiency. This work is aimed to build the stego-image database which is obtained by implementing various RGB Least Significant Bit Steganographic algorithms. Though there are many stego-images sources available on the internet it lacks in the information such as how many rows has been infected by the steganography algorithms, how many bits have been modified and which channel has been affected. These parameters are important for Steganalysis algorithms and it helps to rate its efficiency. Images are chosen from board categories such as animals, nature, person to produce variety of Stego-Image.