文献类型：期刊文献

中文题名：一种基于粗糙集属性约简的图像隐藏信息检测方法

英文题名：Steganalysis Based on the Rough Set Attribute Reduction

作者：戴蒙[1];林家骏[1];毛家发[1]

机构：[1]华东理工大学信息科学与工程学院

年份：2008

卷号：34

期号：1

起止页码：122

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;EI(收录号：20081311171225);Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：隐写术;隐写分析;粗糙集;属性约简

外文关键词：steganography; steganalysis; rough set; attribute detection

摘要：基于统计分析的检测方法是图像隐藏信息检测常用的方法,与特定隐写分析方法相比,它比较灵活,能够快速地适应新的或未知的隐写算法。针对特征属性高维的特点,采用粗糙集属性约简的方法来降低数据规模。实验表明:与采用全部属性的检测系统相比,该方法在不影响分类精度的前提下有效提高了检测速度。
The statistical detection is generally used in steganalysis. Comparing with the special stega- nalysis, it has the advantage of flexing. However, it has the disadvantages in large-scale data,and low calculate speed. For the high dimensions of feature attributes, the attributes reduction based on rough set can delete the non-important knowledge while not alter the classification ability of knowledge. The result of experiment shows that the proposed detection technique achieves a comparable precise detection rate as algorithm based on all feature attributes, however, it evidently decreases detection time.