Steganalysis Based on Regression Model and Bayesion Network

摘要：

In this paper, we propose a feature generation and classification approach for universal steganalysis based on Genetic Algorithm (GA) and higher order statistics. The GA is utilized to select a subset of candidate features, a subset of candidate transformations to generate new features. The Logistic Regression Model and Bayesion Network Model are then used as the classifier. Experimental results show that the GA based approach increases the blind detection accuracy and also provides a good generality by identifying an untrained stego-algorithm.

关键词： Steganalysis Genetic Algorithm

作者: Xiao Yi Yu Aiming Wang

作者单位: Scool of Computerv and Information Engineering Anyang Normal University, Henan, China Computer Depar Scool of Computerv and Information Engineering Anyang Normal University Henan, China

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: 41-44

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）