%0 Journal Article
%T New and effective JPEG steganographic content detecting system<br>一种新型高效的JPEG信息隐藏盲检测系统
%A TAO Yan-yun
%A XU Cui-hua
%A MAO Jia-fa
%A LIN Jia-jun
%A <br>陶砚蕴
%A 徐萃华
%A 毛家发
%A 林家骏
%J 计算机应用
%D 2007
%I 
%X 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.
%K blind detecting
%K JPEG
%K energy
%K neural network
%K classfication
%K XML<br>盲检测
%K JPEG图片
%K 能量
%K 神经网络
%K 分类器
%K XML
%K 新型高效
%K JPEG
%K 信息隐藏
%K 检测系统
%K system
%K detecting
%K content
%K 压缩处理
%K 剪切
%K 锐化
%K 平滑
%K 嵌入率
%K 检测率
%K 方法
%K 隐写
%K 测试
%K 报表生成
%K 信息存储
%K 盲检测
%K 批量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512CBA7EEBA64258ED2&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=599BE0AAD31F648B&eid=142CA2F7BF1B30ED&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10