A SVM Based Text Steganalysis Algorithm for Spacing Coding  

作　　者：YANG Yu 

机构地区：[1]InformationSecurityCenter,BeijingUniversityofPostsandTelecommunications,Beijing100876,China [2]NationalEngineeringLaboratoryforDisasterBackupandRecovery,Beijing100876,China [3]SchoolofMathematicsandInformationScience&Technology,HebeiNormalUniversityofScience&Technology

出　　处：《China Communications》2014年第A01期108-113,共6页中国通信（英文版）

基　　金：the National Natural Science Foundation of China under Grant No.61170269,No.61170272,No.61202082,No.61003285,and the Fundamental Research Funds for the Central Universities under Grant No.BUPT2013RC0308,No.BUPT2013RC0311

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%.

关 键 词：text steganalysis SVM steganalysis space-coding detecting 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TN919.8[自动化与计算机技术—控制科学与工程]