【作者】 姜维； 郭艳卿； 孔祥维； 尤新刚；

【Author】 Jiang Wei~1,Guo Yanqing~1,Kong Xiangwei~1,and You Xingang~(1,2) 1(Information Security Research Center,Dalian University of Technology,Dalian,Liaoning 116024) 2(Beijing Institute of Electronic Technology and Application,Beijing 100091)

【机构】 大连理工大学信息安全中心； 北京电子技术应用研究所；

【摘要】 重压缩检测是多级隐密分析中关键的预处理部分,高准确率的重压缩检测是隐密分析获得更高性能的重要前提条件.深入研究了重压缩对于JPEG图像各种特征的影响,基于此提出了一种融合直方图分布特征、Benford特征、DFT特征的重压缩检测算法.仿真实验表明,该算法具有更高的检测率,能够适用于JPEG多级隐密分析中的重压缩检测.更多还原

【Abstract】 Double-compression detection is very important in pre-processing of JPEG steganalysis,and high-accurate detection is a key precondition for that steganalysis to have more excellent performance. The authors fully study various effects of double-compression on JPEG features,based on which,a detection algorithm is proposed,which merges histogram features,Benford features,and DFT features.Experimental results show that the proposed algorithm is more accurate,which can be used in double-compression of multi-class JPEG blind steganalysis.更多还原