Message Security Through AES and LSB Embedding in Edge Detected Pixels of 3D Images

Submitted by grigby1 on Mon, 02/08/2021 - 1:01pm

Title	Message Security Through AES and LSB Embedding in Edge Detected Pixels of 3D Images
Publication Type	Conference Paper
Year of Publication	2020
Authors	Moussa, Y., Alexan, W.
Conference Name	2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)
Date Published	Oct. 2020
Publisher	IEEE
ISBN Number	978-1-7281-8226-1
Keywords	3D cover images, AES-256, AES–256, composability, cryptography, Data security, edge detected pixels, edge detection, Entropy, Image coding, Image edge detection, LSB embedding, LSB steganography, MAE, mean absolute error, mean square error, mean square error methods, message security, Metrics, MSE, peak signal-to-noise ratio, PSNR, pubcrawl, resilience, Resiliency, Scalability, security, SSIM, steganography, stereo image processing, structural similarity index measure, Three-dimensional displays, Two dimensional displays, visualization
Abstract	This paper proposes an advanced scheme of message security in 3D cover images using multiple layers of security. Cryptography using AES-256 is implemented in the first layer. In the second layer, edge detection is applied. Finally, LSB steganography is executed in the third layer. The efficiency of the proposed scheme is measured using a number of performance metrics. For instance, mean square error (MSE), peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), mean absolute error (MAE) and entropy.
URL	https://ieeexplore.ieee.org/document/9257937
DOI	10.1109/NILES50944.2020.9257937
Citation Key	moussa_message_2020

Groups:

Science of Security VO