A SVM Based Text Steganalysis Algorithm for Spacing Coding

被引：4
|
作者：
Yang Yu [1 ,2 ]
Lei Min [1 ,2 ]
Wang Jianfeng [2 ,3 ]
Liu Bohuai [1 ,2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Informat Secur Ctr, Beijing 100876, Peoples R China
[2] Natl Engn Lab Disaster Backup & Recovery, Beijing 100876, Peoples R China
[3] Hebei Normal Univ Sci & Technol, Sch Math & Informat Sci & Technol, Qinhuangdao, Hebei, Peoples R China
来源：
CHINA COMMUNICATIONS | 2014年 / 11卷 / 01期
基金：
中国国家自然科学基金;
关键词：
text steganalysis; SVM steganalysis; space-coding detecting;
D O I：
10.1109/CC.2014.7022533
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Group distance coding is suitable for secret communication covered by printed documents. However there is no effective method against it. The study found that the hiding method will make group distances of text lines coverage on specified values, and make variances of group distances among N-Window text lines become small. Inspired by the discovery, the research brings out a Support Vector Machine (SVM) based steganalysis algorithm. To avoid the disturbance of large difference among words length from same line, the research only reserves samples whose occurrence-frequencies are +/- 10dB of the maximum frequency. The results show that the correct rate of the SVM classifier is higher than 90%.
引用
收藏
页码：108 / 113
页数：6
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