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机构地区:[1]上饶师范学院数学与计算机系,江西上饶334001 [2]华东理工大学信息与控制学院,上海200237 [3]上海应用技术学院计算机科学与工程系,上海200233
出 处:《计算机学报》2009年第2期318-327,共10页Chinese Journal of Computers
基 金:江西省教育厅科技基金项目(Gjj08462);上海市教育发展基金会晨光计划(2008CGB21)资助~~
摘 要:隐写分析技术是网络信息安全的重要组成部分.它的最根本问题是判断数字载体是否携带秘密信息.文中提出了基于攻击的隐藏信息盲检测方式,提取空域图像、DCT域图像一个二维特征向量,通过非线性神经网络分类器来判别图像是否含有秘密信息,并建立了7000多幅图像库(包括掩密图像与干净图像)进行了可行性、多样性仿真实验,取得了以下效果:(1)平均检测率90.085%(阳性检测率与阴性检测率的总平均);(2)不受限于隐写方案;(3)能够检测低嵌入率的掩密图像;(4)能够检测出经平滑、锐化、缩小、剪切和再压缩处理后的干净图像.Steganalysis technique is an important part of the security of internet information. It' essential problem is to estimate if the digital carrier takes the secret messages . This paper brings forward the blind detect technique which is based on the hidden messages for aggressive. A 2D feature vector in the spatial and DCT domains is extracted to blindly determine the existence of hidden messages in an image. For evaluation, a database composed of over 7000 cover and stego images(generated by using ten different embedding schemes) was established. Based on the data- base, simulation experiments were conducted to prove the feasibility and diversity of the proposed system. The proposed system consists of following: (1) The average detection rate is about 90. 085%, the total average for electropositive detection rate and negative detection rate; (2) It is not limited to the detection of a particular steganographic scheme; (3) It has the capability to detect the stego images with an lower embedding rate; (4) The test of plain images which is smoothing, sharpening, image size zoomed out, cutting and recompressing can be inspected.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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