图像隐写分析研究新进展
Recent Advances in Image Steganalysis
DOI: 10.12677/JISP.2017.63016, PDF, HTML, XML,  被引量 下载: 2,598  浏览: 9,776  国家自然科学基金支持
作者: 董 晶：中科院自动化研究所模式识别国家重点实验室智能感知中心，北京；中科院信息工程研究所信息安全国家重点实验室，北京；钱银龙*：中科院自动化研究所模式识别国家重点实验室智能感知中心，北京；中国科学技术大学自动化系，安徽 合肥；王 伟：中科院自动化研究所模式识别国家重点实验室智能感知中心，北京
关键词: 隐写术；隐写分析；通用隐写分析；模式识别；深度学习；Steganography； Steganalysis； Universal Steganalysis； Pattern Recognition； Deep Learning
摘要: 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。
Abstract: 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.
文章引用：董晶, 钱银龙, 王伟. 图像隐写分析研究新进展[J]. 图像与信号处理, 2017, 6(3): 131-138. https://doi.org/10.12677/JISP.2017.63016

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