盲环境下的数字图像可信性评估模型研究  

Research on Trustworthiness Evaluation Model for Digital Image in Blind Environment

作　　者：胡东辉[1,2] 王丽娜[1,3] 江夏秋[1] 

机构地区：[1]武汉大学计算机学院,武汉430079 [2]合肥工业大学计算机与信息学院网络与信息安全研究所,合肥230009 [3]空天信息安全及可信计算教育部重点实验室,武汉430072

出　　处：《计算机学报》2009年第4期675-687,共13页Chinese Journal of Computers

基　　金：国家自然科学基金重大研究计划(90718006);国家"九七三"重点基础研究发展规划项目基金(2007CB310801);教育部博士点基金(20070486107)资助~~

摘　　要：随着各种数字图像处理软件和信息隐藏软件的涌现,数字图像正面临"信任危机".文中从可信的角度考虑数字图像的安全问题,提出盲环境下数字图像可信性评估的概念.文中提出了两类可信性评估模型:可信性判断模型和可信性度量模型.可信性判断模型在数字图像取证技术的基础上,围绕数字图像的不同生命阶段,判断数字图像是否可信.可信性度量模型分为可信性综合度量模型和可信性历史度量模型两种.文中设计了一种基于隐马尔可夫(HMM)的历史度量模型和一种基于模糊层次分析法的综合度量模型.在所设计模型的基础上,文中进一步研究了盲环境下数字图像可信性评估体系.文中最后通过实验结果验证了所提出的数字图像可信性综合度量模型的有效性.With the emerging of various digital image process software and informatation hiding software, digital image are facing credit crisis. This paper discusses the security problem of digital image from the point of trustworthiness, and proposes the concept of digital image trustworthiness evaluation. Firstly, the digital image trustworthiness judging model and the digital image trustworthiness measuring model are proposed. The former is researched on different phases of digit image life cycle. The latter is based on hidden Markov model （HMM）, and the digital image trustworthiness synthesis measuring model is proposed based on the method of fuzzy analytic hierarchy process. Digital image trustworthiness evaluation system in blind environment is further proposed. Finally, experimental results show that the digital image trustworthiness synthesis measuring model is effective.

关 键 词：数字图像 评估模型 可信性判断模型 可信性历史度量模型 可信性综合度量模型 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]