Image Steganography on Cryptographic text using Neural Networks

Bararia, Aarsh Rajesh (2021) Image Steganography on Cryptographic text using Neural Networks. Masters thesis, Dublin, National College of Ireland.

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Abstract

This paper is an effort to design and implement a data securing technique using both Cryptography and Steganography together. Using both these techniques together gives multiple layers of security to the message and help to transmit confidential information securely. For encryption and decryption of message AES-256 encryption technique along with password based key derivation function PBKDF2 is used. The encrypted text is then encoded inside the image pixels. This encoded image is further encrypted inside another image using multi-image steganography. This paper is an effort to implement multi-image steganography in combination with Deep Neural Networks. This technique is designed to take the encoded image and a random cover image from image dataset and then train the neural network to hide the encoded image in the cover image.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Cryptography; Steganography; Deep Neural Networks
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Clara Chan
Date Deposited:	18 Oct 2021 13:45
Last Modified:	18 Oct 2021 13:45
URI:	https://norma.ncirl.ie/id/eprint/5101

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