Hiding Data in Images Using Cryptography and Deep Neural Network

TL;DR

This paper presents a novel approach combining steganography, cryptography, and deep neural networks to securely hide images within other images, addressing security and efficiency challenges in digital data concealment.

Contribution

It introduces an integrated method that enhances data hiding security and non-uniformity by combining cryptography and neural networks in steganography.

Findings

The method effectively conceals images within other images.

It improves security by making data embedding less uniform.

The approach demonstrates robustness against detection.

Abstract

Steganography is an art of obscuring data inside another quotidian file of similar or varying types. Hiding data has always been of significant importance to digital forensics. Previously, steganography has been combined with cryptography and neural networks separately. Whereas, this research combines steganography, cryptography with the neural networks all together to hide an image inside another container image of the larger or same size. Although the cryptographic technique used is quite simple, but is effective when convoluted with deep neural nets. Other steganography techniques involve hiding data efficiently, but in a uniform pattern which makes it less secure. This method targets both the challenges and make data hiding secure and non-uniform.