Visible to the public Message Security Through AES and LSB Embedding in Edge Detected Pixels of 3D Images

TitleMessage Security Through AES and LSB Embedding in Edge Detected Pixels of 3D Images
Publication TypeConference Paper
Year of Publication2020
AuthorsMoussa, Y., Alexan, W.
Conference Name2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)
Date PublishedOct. 2020
ISBN Number978-1-7281-8226-1
Keywords3D 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

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.

Citation Keymoussa_message_2020