| 基于DCT域共生矩阵的JPEG图像隐写分析 |
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| 引用本文： | 黄聪,宣国荣,高建炯,施云庆.基于DCT域共生矩阵的JPEG图像隐写分析[J].计算机应用,2006,26(12):2863-2865. |
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| 作者姓名： | 黄聪 宣国荣 高建炯 施云庆 |
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| 作者单位： | 同济大学,计算机科学与技术系,上海,200092;美国新泽西理工学院,电气工程和计算机系,美国,新泽西,07102 |
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| 摘 要： | 提出一种新的针对JPEG图像的通用隐写分析方法，该方法直接提取DCT系数，利用共生矩阵去挖掘出块中低频系数的相关性，最后形成120维特征并用SVM进行分类。针对4种公认的安全性较高的JPEG类嵌入方法F5、Outguess、MB（未去除分块特性MB1，去除分块特性MB2），对CorelDraw1096张图库进行了实验，结果表明，该方法的识别率和运算速度明显优于现有算法。
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| 关 键 词： | 隐写分析 JPEG图像 共生矩阵 SVM |
| 文章编号： | 1001-9081（2006）12-2863-03 |
| 收稿时间： | 2006-06-19 |
| 修稿时间： | 2006-06-192006-08-03 |
Steganalysis based on co-ocurrence matrix in DCT domain for JPEG images |
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| HUANG Cong,XUAN Guo-rong,GAO Jian-jiong,SHI Yun-qing.Steganalysis based on co-ocurrence matrix in DCT domain for JPEG images[J].journal of Computer Applications,2006,26(12):2863-2865. |
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| Authors: | HUANG Cong XUAN Guo-rong GAO Jian-jiong SHI Yun-qing |
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| Affiliation: | 1. Department of Computer Science, Tongji University, Shanghai 200092, China ; 2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, New Jersey 07102, USA |
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| Abstract: | A new steganalysis scheme based on co-occurrence matrix in DCT domain for JPEG images was proposed. A total of 120 dimensional feature vectors were derived from the co-occurrence matrix, which was calculated directly in DCT domain and was sensitive to the data embedding process. Then, SVM was used to classify the 120 dimensional feature vectors. The experimental results for 4 kinds of popular JPEG steganographic schemes (F5, Outguess, Model based steganography with and without deblocking) have demonstrated that the proposed scheme outperforms the existing steganalysis techniques in both detection rate and speed. |
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| Keywords: | SVM |
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