中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 信息安全国家重点实验室  > 期刊论文
Subject: Computer Science (provided by Thomson Reuters)
Title:
基于主成分分析进行特征融合的JPEG隐写分析
Alternative Title: jpeg steganalysis based on feature fusion by principal component analysis
Author: 黄炜 ; 赵险峰 ; 冯登国 ; 盛任农
Keyword: feature fusion ; PCA(principal component analysis) ; feature reduction ; steganalysis
Source: 软件学报
Issued Date: 2012
Volume: 23, Issue:7, Pages:1869-1879
Department: 中国科学院软件研究所信息安全国家重点实验室;北京电子技术应用研究所;
Abstract: 为了解决现有JPEG隐写分析方法特征冗余度高和未能充分利用特征间互补关系的问题,提出了一种基于主成分分析(principal component analysis,简称PCA)进行特征融合的JPEG隐写分析方法,并分析所选特征之间的互补性.通过融合将互补特征结合在一起,更全面地反映载体和隐写信号间的统计差异,并用PCA分离出冗余成分,最终达到进一步提升准确率的目的.实验结果表明,在不同数据集和嵌入率情况下,该方法分析高隐蔽性隐写(如F5,MME和PQ)的准确率高于主要JPEG分析方法,在耗时上较现有特征层融合降维方法大为缩短.
English Abstract: To solve problems in the existing JPEG steganalysis schemes,such as high redundancy in features and failure to make good use of the complementarity among them,this study proposes a JPEG steganalysis approach based on feature fusion by the principal component analysis(PCA) and analysis of the complementarity among features.The study fuses complementary features to reflect the statistical differences between cover and stego signals in the round,isolates redundant components by PCA,and finally achieves the goal of improving accuracy.Experimental results show that in various datasets and embedding rates,this scheme provides more accuracy than the main JPEG steganalysis schemes against steganographic methods of high concealment(e.g.F5,MME and PQ) and greatly reduces the time cost of the existing fusion methods on feature level.
Language: 中文
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/14654
Appears in Collections:信息安全国家重点实验室_期刊论文

Files in This Item:
File Name/ File Size Content Type Version Access License
基于主成分分析进行特征融合的JPEG隐写分析.pdf(1346KB)----限制开放 联系获取全文

Recommended Citation:
黄炜,赵险峰,冯登国,等. 基于主成分分析进行特征融合的JPEG隐写分析[J]. 软件学报,2012-01-01,23(7):1869-1879.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[黄炜]'s Articles
[赵险峰]'s Articles
[冯登国]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[黄炜]‘s Articles
[赵险峰]‘s Articles
[冯登国]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2019  中国科学院软件研究所 - Feedback
Powered by CSpace