New and effective JPEG steganographic content detecting system
一种新型高效的JPEG信息隐藏盲检测系统

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.