|
|||||
|
|
| 一种基于粗糙集属性约简的图像隐藏信息检测方法 | |
| 引用本文： | 戴蒙,林家骏,毛家发.一种基于粗糙集属性约简的图像隐藏信息检测方法[J].华东理工大学学报(自然科学版),2008,34(1):122-125. |
| 作者姓名： | 戴蒙 林家骏 毛家发 |
| 作者单位： | 1. 华东理工大学信息科学与工程学院,上海,200237;上海应用技术学院计算机科学与信息工程系,上海,200233 2. 华东理工大学信息科学与工程学院,上海,200237 3. 华东理工大学信息科学与工程学院,上海,200237;上饶师范学院,江西,上饶,334001 |
| 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. |
| 关 键 词： | 隐写术 隐写分析 粗糙集 属性约简 |
| 文章编号： | 1006-3080（2008）01-0122-04 |
| 收稿时间： | 2007-01-26 |
| 修稿时间： | 2007年1月26日 |
Steganalysis Based on the Rough Set Attribute Reduction |
|
| DAI Meng,LIN Jia-jun,MAO Jia-fa.Steganalysis Based on the Rough Set Attribute Reduction[J].Journal of East China University of Science and Technology,2008,34(1):122-125. | |
| Authors: | DAI Meng LIN Jia-jun MAO Jia-fa |
| Abstract: | 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. |
| Keywords: | steganography steganalysis rough set attribute detection |
| 本文献已被 维普 万方数据 等数据库收录！ | |