CORC  > 兰州理工大学  > 兰州理工大学  > 计算机与通信学院
Universal steganalysis method based on multi-domain features
Yan, Yan; Li, Liting; Zhang, Qiuyu
刊名Journal of Information and Computational Science
2013-05-01
卷号10期号:7页码:2177-2185
关键词Algorithms Support vector machines Correlation coefficient Difference values Embedding capacity Embedding rates Mean and standard deviations Multi-domain features Statistical features Universal steganalysis
ISSN号15487741
DOI10.12733/jics20101693
英文摘要A new method of universal steganalysis for BMP images, which had low embedding rate and based on multi-domain features, is proposed in this paper. It provided a way to extract statistical features from multi-domain for universal steganalysis and solved the problem of low detection rate for a small amount of data embedding. Features were extracted from gradient energy differences in spatial domain, correlation coefficient in DCT domain, and the mean and standard deviation of difference value matrix in DWT domain. Experiments results show that detection achieved a better reliability when the embedding capacity is above 2 KB, compared with existing methods. © 2013 by Binary Information Press.
语种英语
出版者Binary Information Press, Flat F 8th Floor, Block 3, Tanner Garden, 18 Tanner Road, Hong Kong
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/112912]  
专题计算机与通信学院
作者单位School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
推荐引用方式
GB/T 7714
Yan, Yan,Li, Liting,Zhang, Qiuyu. Universal steganalysis method based on multi-domain features[J]. Journal of Information and Computational Science,2013,10(7):2177-2185.
APA Yan, Yan,Li, Liting,&Zhang, Qiuyu.(2013).Universal steganalysis method based on multi-domain features.Journal of Information and Computational Science,10(7),2177-2185.
MLA Yan, Yan,et al."Universal steganalysis method based on multi-domain features".Journal of Information and Computational Science 10.7(2013):2177-2185.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace