摘要
在Simmons的"囚犯问题"模型和Cachin的安全性理论模型下,如何提取并融合统计特征是隐密分析技术亟待解决的关键问题之一.基于对已有隐密分析技术及其所涉及的图像统计特征的分析,本文将隐密分析技术所涉及的统计特征定义为载体数据固有特征和隐密方法引入特征,并分别讨论了这两类特征的重要性.在阐述隐密分析技术的整体性研究方法的基础上,提出了一种基于整体性思想的特征提取及融合方法,并以研制的图像隐密分析系统(StegDetect)验证了此整体性特征提取及融合方法的有效性.
The extraction and fusion of statistical features has been a key problem demanding solving for steganalytic technology in the context of the prisoner＇s problem presented by Simmons and Cachin＇ s security theory model. We divide the statistical features into two categories, i. e., inherited features and introduced features, and the importance of these features is further discussed. Furthermore, based on the research of steganalytic methodology and the theory of holism, a fusion strategy of statistical features is proposed, and the availability of the proposed fusion strategy is verified by our image steganalysis system, which is developed using the strategy.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第B12期2443-2446,共4页
Acta Electronica Sinica
基金
国家自然科学基金(No.60572111)
国家高技术研究发展计划(863计划)(No.2005AA145010)
关键词
隐密分析
固有特征
引入特征
整体性
特征提取
特征融合
steganalysis
inherent feature
introduced feature
holism
feature extraction
feature fusion
