图像隐写分析研究新进展 Recent Advances in Image Steganalysis

隐写分析是信息安全领域一个很重要的研究方向。随着研究的快速发展，已经有大量的隐写分析方法提出。本文的目的是对近几年图像隐写分析领域的新进展和新思路进行梳理和总结，以给领域内的研究者提供参考。文章首先对传统基于人工特征的隐写分析新进展进行总结，进而重点介绍了隐写领域中新提出的基于深度学习的隐写分析方法。最后，文章对隐写分析的研究面临的挑战以及研究趋势进行了讨论。 In recent years, steganalysis has become an important research direction in information security. With rapid development, numerous methods have been proposed to solve the steganalysis problem. This article aims to review recent advances in image steganalysis to provide useful information to the researchers in this field. It first summarizes recent progress in traditional handcrafted feature based methods, and then introduces the deep learning based steganalysis, which is a new trend in steganalysis. Finally, the article summarizes the future trends and challenges in steganalysis.