Universal Methodology. for Developing Quantitative Steganalysis  

作　　者：GUO Yanqing KONG Xiangwei YOU Xingang LI Lingling 

机构地区：[1]School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116024, China [2]Beijing Institute of Electronic Technology and Application, Beijing 100091, China

出　　处：《Chinese Journal of Electronics》2009年第3期455-459,共5页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.60572111）. Hui for many useful of this paper. The authors would like to thank the reviewers for their careful reading and insightful comments. Special thanks belong to Shen Linjie, Wang Bo and Song Hui for many useful discussions during preparation of this paper.

摘　　要：The objective of quantitative steganalysis is to achieve reliable estimation of embedded message length of a suspected digital object. This type of methods has received considerable attention due to its capability of providing more detailed information about embedded secrets rather than just determining whether a suspected object is stego or not. In this paper, we present the method- ology of ＂universal quantitative steganalysis＂, which is a practical, unified approach for designing quantitative ste- ganalytic methods based on statistical learning techniques. This methodology models the relation between embedded message length and statistical feature change caused by the embedding process with a multivariable function, and solves the problem of optimal parameter estimation with SVR （Support vector regression） technique. Experimental results indicate that new quantitative steganalytic methods applying the presented methodology can achieve excellent performance for F5 and MB1 steganographic mechanisms.

关 键 词：STEGANOGRAPHY Universal  Quantitative setanalysis  Statistical learning  Support vector regression （SVR）. 

分 类 号：TP271.81[自动化与计算机技术—检测技术与自动化装置] F112.1[自动化与计算机技术—控制科学与工程]