benchmarking for steganography by kernel fisher discriminant criterion
文献类型:会议论文
作者 | Huang Wei ; Zhao Xianfeng ; Feng Dengguo ; Sheng Rennong |
出版日期 | 2012 |
会议名称 | 7th China International Conference on Information Security and Cryptography, Inscrypt 2011 |
会议日期 | November 30, 2011 - December 3, 2011 |
会议地点 | Beijing, China |
关键词 | Algorithms Cryptography Steganography |
页码 | 113-130 |
中文摘要 | In recent years, there have been many steganographic schemes designed by different technologies to enhance their security. And a benchmarking scheme is needed to measure which one is more detectable. In this paper, we propose a novel approach of benchmarking for steganography via Kernel Fisher Discriminant Criterion (KFDC), independent of the techniques in steganalysis. In KFDC, besides between-class variance resembles what Maximum Mean Discrepancy (MMD)merely concentrated on, within-class variance plays another important role. Experiments show that KFDC is qualified for the indication of the detectability of steganographic algorithms. Then, we use KFDC to illustrate detailed analysis on the security of JPEG and spatial steganographic algorithms. © 2012 Springer-Verlag Berlin Heidelberg. |
英文摘要 | In recent years, there have been many steganographic schemes designed by different technologies to enhance their security. And a benchmarking scheme is needed to measure which one is more detectable. In this paper, we propose a novel approach of benchmarking for steganography via Kernel Fisher Discriminant Criterion (KFDC), independent of the techniques in steganalysis. In KFDC, besides between-class variance resembles what Maximum Mean Discrepancy (MMD)merely concentrated on, within-class variance plays another important role. Experiments show that KFDC is qualified for the indication of the detectability of steganographic algorithms. Then, we use KFDC to illustrate detailed analysis on the security of JPEG and spatial steganographic algorithms. © 2012 Springer-Verlag Berlin Heidelberg. |
收录类别 | EI |
会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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语种 | 英语 |
ISSN号 | 0302-9743 |
ISBN号 | 9783642347030 |
源URL | [http://ir.iscas.ac.cn/handle/311060/15855] ![]() |
专题 | 软件研究所_软件所图书馆_会议论文 |
推荐引用方式 GB/T 7714 | Huang Wei,Zhao Xianfeng,Feng Dengguo,et al. benchmarking for steganography by kernel fisher discriminant criterion[C]. 见:7th China International Conference on Information Security and Cryptography, Inscrypt 2011. Beijing, China. November 30, 2011 - December 3, 2011. |
入库方式: OAI收割
来源:软件研究所
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