图像隐写分析研究新进展  

Recent Advances in Image Steganalysis

作　　者：董晶 钱银龙 王伟 Jing Dong;Yinlong Qian;Wei Wang(Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences, Beijing;State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy ofSciences, Beijing;Department of Automation, University of Science and Technology of China, Hefei Anhui)

机构地区：[1]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 [2]中科院信息工程研究所信息安全国家重点实验室,北京 [3]中国科学技术大学自动化系,安徽合肥

出　　处：《图像与信号处理》2017年第3期131-138,共8页Journal of Image and Signal Processing

基　　金：北京市自然科学基金(No.4164102);国家自然科学基金(No.61502496,No.61303262,No.U1536120,No.U1636201);国家重点研发计划(No.2016YFB1001003).

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。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.

关 键 词：隐写术 隐写分析 通用隐写分析 模式识别 深度学习 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]