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一种新型高效的JPEG信息隐藏盲检测系统
引用本文:陶砚蕴,徐萃华,毛家发,林家骏.一种新型高效的JPEG信息隐藏盲检测系统[J].计算机应用,2007,27(6):1527-1530.
作者姓名:陶砚蕴  徐萃华  毛家发  林家骏
作者单位:华东理工大学,信息科学与工程学院,上海,200237
摘    要:设计并开发了一种基于DCT系数能量及能量差特征,三层前馈非线性神经网络来作为分类器的JPEG图像隐藏信息的盲检测系统。整个系统的开发环境是VC++6.0,采用了多线程XML技术以及SQL Server数据库,实现了JPEG图片的批量盲检测,检测信息存储以及报表生成。系统对三千多幅JPEG图像进行盲检测测试,对于多种隐写方法取得平均检测率90.085%,包括低嵌入率的JPEG含秘图像和平滑、锐化、缩小、剪切和再压缩处理后的JPEG净图。

关 键 词:盲检测  JPEG图片  能量  神经网络  分类器  XML
文章编号:1001-9081(2007)06-1527-04
收稿时间:2006-12-29
修稿时间:2006-12-29

New and effective JPEG steganographic content detecting system
TAO Yan-yun,XU Cui-hua,MAO Jia-fa,LIN Jia-jun.New and effective JPEG steganographic content detecting system[J].journal of Computer Applications,2007,27(6):1527-1530.
Authors:TAO Yan-yun  XU Cui-hua  MAO Jia-fa  LIN Jia-jun
Affiliation:College of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
Abstract:A blind detecting JPEG Steganographic Content system was designed and developed whose class is based on the characteristics of DCT coefficients energy and 3-layer forward neural network .The whole system was developed in VC 6.0,using the multi-thread, XML , SQL Server database and the JPEG library of Thomas G. Lane, and a blind detecting JPEG Steganographic Content system was realized which can store detecting information and create reports. This system has detected more than 3000 pictures and the average detecting rate of various Steganographic methods is 90.085%, including jpeg pictures with low stega rate and cover pictures which are smoothened, sharpened, shirked, cuted or re-compressed.
Keywords:blind detecting  JPEG  energy  neural network  classfication  XML
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