Title: A survey on neural network-based image data hiding for secure communication

Authors: Yue Wu; Peipeng Yu; Chengsheng Yuan

Addresses: School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu, China

Abstract: Data hiding has always been a hot research topic in the field of information security, and has attracted more and more attention from the academic community. At the same time, the rise of deep learning has also injected new development directions into the field. According to the characteristics of data hiding for images, many scholars have made corresponding improvements to the neural network and achieved many creative results. This review summarises the main methods and representative research results of data hiding for images based on a neural network. The principles and methods of neural network-based steganography and watermarking are introduced in detail. Finally, we discuss the problems of existing research and point out the direction for further research.

Keywords: data hiding; steganography; image watermarking; deep neural network.

DOI: 10.1504/IJAACS.2023.134095

International Journal of Autonomous and Adaptive Communications Systems, 2023 Vol.16 No.5, pp.476 - 493

Received: 17 Aug 2021
Accepted: 04 Sep 2021
Published online: 11 Oct 2023 *

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