采用多阶势能的二值文本图像隐写分析  

Detection for Binary Text Image Steganography Based on Multi-stage Potential Energy

作　　者：徐艺伟 陈够喜[1] 马巧梅[1] 杨秋翔[1] 

机构地区：[1]中北大学计算机与控制工程学院,太原030051

出　　处：《小型微型计算机系统》2015年第4期852-855,共4页Journal of Chinese Computer Systems

基　　金：山西省科技攻关项目(20090322004)资助;中北大学校基金项目(2013)资助

摘　　要：数字图像隐写与分析是当前信息安全领域研究的热点.在二值文本图像隐写分析方面,如何检测并定位隐秘信息是一个难题.根据多阶势能对像素点变化的敏感性,提出一种基于多阶势能的隐写分析新方法.文中首先分析和论证了多阶势能应用于二值文本图像隐写分析的相关理论基础;然后,通过对图像进行分块预处理,采集模块的势能序列,利用多阶势能对二值文本图像中的隐秘信息进行位置分析,实现对隐秘信息的检测;最后,通过实验和数据分析表明该算法不仅可以判断隐秘信息的存在性,而且还能够确定隐秘信息的位置.Digital image steganography and analysis is the current research focus in the field of information security. In the binary text image steganography analysis area,how to detect and locate secret information is a problem. According to the sensitivity of multi-stage potential energy to the pixel dots change, proposed a new steganalysis method based on multi-stage potential energy. This paper first analyzes and demonstrates the relevant theoretical basis of multi-stage potential energy is applied to the binary text image steganalysis. Through the pretreatment of image block, acquires the potential energy sequence of module, then uses multi-stage potential energy to a- nalysis the position of secret information and realizes the detection of secret information. Experimental results show that the algorithm can not only determine the existence of secret information, but also can detect the location of secret information.

关 键 词：信息安全 隐写分析 二值文本图像 多阶势能 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]