文献类型：会议论文

英文题名：The algorithm for detecting hiding information based on SVM

作者：Huang, JiFeng[1,2]; Lin, JiaJun[1]; He, XiaoFu[2]; Dai, Meng[2]

机构：[1]E China Univ Sci & Technol, Informat Sci Coll, Shanghai, Peoples R China;[2]Shanghai Normal Univ, Dept Comp Sci & Technol, Shanghai, Peoples R China

会议论文集：International Symposium on Neural Networks (ISNN 2004)

会议日期：AUG 19-21, 2004

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：Discrete cosine transforms - Image compression

摘要：Steganographic messages can be embedded into digital image while most methods in use today are invisible to an observer's senses. Mathematical analysis may reveal statistical anomalies in the stego images. Since the difference of adjacent DCT coefficients can better reflect the statistical difference between the cover image and the stego image, we select six differences of adjacent DCT coefficients as the feature vectors used by the classifier for training. Experimental results show that our approach based on SVM can determine the existence of hidden messages in JPEG images reliably and get excellent computational efficiency.