Steganalysis Based on Neighbourhood Node Degree Histogram for LSB Matching Steganography

摘要：

In this paper, we propose a new method to detect least significant bit (LSB) matching steganography which is based on neighbourhood node degree histogram characteristic function (NDHCF). First we calculate the center of mass (COM) of the NDHCF then embed another random secret message to compute the alteration rate of the NDHCF COM. We select NDHCF COM and the alteration rate as features and use support vector machines as a classifier. Experimental results demonstrate that the proposed method is efficient to detect the LSB matching stegonagraphy on compressed or uncompressed images and has superior results compared with other recently proposed algorithms.

关键词： Information hiding steganalysis LSB matching neighbourhood node degree histogram

作者: Bin Xia Xingming Sun Jiaohua Qin

作者单位: School of Computer and Communication Hunan University P. R. China School of Computer and Communication Hunan University P. R. China Department of mathematics & comput

会议类型: 国际会议

会议名称: The First International Conference on Multimedia Information Networking and Security(第一届国际多媒体网络信息安全会议 MINES 2009)

会议地点: 武汉

会议语种:英文

页码: 760-763

在线出版日期: 2009-11-18（万方平台首次上网日期，不代表论文的发表时间）