Reversible Data Hide using in Encrypted Images using deep neural network and gan model

Registration ID: IJNRD_221248

Published ID: IJNRD2405332

DOI: Click Here to Get

Nagma Shaikh , Dr. S.P. Pawar

These days, images are shared on social media, which has led to photo security. In order to conceal the important message from the image and vice versa, we would like to employ steganography and coding techniques. We often use a lossless reversible technique for embedding and extracting information within the designed system. By gently altering the pixel values, we can insinuate secret data into the cowl image via a technique known as reversible information concealment. In this paper, we propose an alternative approach for combining models such as convolution neural networks and generative adversarial networks to obtain meaningful encrypted images for RDH. The experiment is designed using a four-stage specification that includes the hiding network, the encryption/decryption network, the extractor, and ultimately the recovery network. Through residual learning, the crucial information was incorporated into the image within the concealing network. The quilt image is encrypted using GAN into a meaningful image known as the embedded image inside the encryption/decryption network. Subsequently, the embedded image is restored to the decrypted image. In order to fully extract the secret message on the receiving end, the original image must be retrieved. The numerous uses, including social control, the medical field (where patient data confidentiality is an example), and the military, where the ability to conceal information is highly valued. This application also aims to retrieve the original image without any loss. Another strategy is to determine the standard of image exploitation by calculating the image's embedding capabilities. SSIM.

Published Paper   E-Certificate

Nagma Shaikh & Dr. S.P. Pawar (May-2024). Reversible Data Hide using in Encrypted Images using deep neural network and gan model. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d270-d272. https://ijnrd.org/papers/IJNRD2405332.pdf

Volume 9 Issue 5, May-2024

Pages : d270-d272

Paper Reg. ID: IJNRD_221248

Published Paper Id: IJNRD2405332

Downloads: 000121979

Research Area: Engineering

Country: karad, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405332.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405332

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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