Image Steganography Using Discrete Wavelet Transform and Convolutional NeuralNetwork

Title

Image Steganography Using Discrete Wavelet Transform and Convolutional NeuralNetwork

Creator

Gurumurthy S.B.; Danti A.

Description

The practice of steganography involves concealing messages within another thing, which is referred to as a carrier. Is thus performed in order to build up a covert communication channel in a rather way that any observers whom has access to such a channel will not be able to detect the act of communication itself. In this research, using the process of stenography, a secret text is transferred across a communication channel using an image as a cover. Discrete Wavelet Transform (DWT) and Convolutional Neural Network (CNN) is used in the above process. The encoding and decoding operation is done by using DWT while the preprocessing and training of images is done by CNN. The training and prediction rate of CNN is 72.4 %. 2022 IEEE.

Source

International Interdisciplinary Humanitarian Conference for Sustainability, IIHC 2022 - Proceedings, pp. 862-868.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Accuracy; Convolutional Neural Network (CNN); Discrete Wavelet Transform (DWT); Encoding; Steganography

Coverage

Gurumurthy S.B., Christ University, Dept. of Computer Science and Engineering, Bangalore, India; Danti A., Christ University, Dept. of Computer Science and Engineering, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-166545687-6

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IIHC55949.2022.10060110

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150833383&doi=10.1109%2fIIHC55949.2022.10060110&partnerID=40&md5=ce2d7ed9f64765d54d5b29ef4a74263d