Modification ratio estimation for a category of adaptive steganography

查看全文 作　　者：LUO [1]XiangYang;LIU [1]FenLin;YANG [1]ChunFang;LIAN [2]ShiGuo

机构地区：[1]Zhengzhou Information Science and Technology Institute, Zhengzhou 450002, China;[2]France Telecom R&D Beijing, Beijing 100080, China

出　　处：《Science China(Information Sciences)》索引2010年第53卷第12期,共13页

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 60970141, 60902102,60873249);the National High-Tech Research & Development Program of China (Grant No. 2008AA10Z419);the Science-Technology Project of Zhengzhou City of China (Grant No. 083SGYG21125);the Doctoral Dissertation Innovation Fund of Information Science and Technology Institute (Grant No. BSLWCX200804) 摘　　要：This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method. 关键词：比率估计自适应改造隐秘检测信息隐藏隐写分析样品分析有效位

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Modification ratio estimation for a category of adaptive steganography

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