Steganalysis in Multiple Sources of Cover Images

摘要：

45 dimensional feature vectors were extracted from DCT and spatial domains of images to defeat steganographic schemes in this paper. Compared with commonly used steganalytic algorithms, the presented method offers much better performances in double JPEG compressed covers and their stegos. However, when our method was applied to detect whether multiple sources of images containing hidden data or not, it showed very poor performances. An improved training technique was proposed and a robuster steganalytic algorithm was designed.

关键词： Steganalysis feature vector robust

作者: Zugenliu

作者单位: Software College Shenyang Normal University Shenyang, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）