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基于AdaBoost的文本隐写分析 被引量：4

Text steganalysis using AdaBoost
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摘要 通过对自然文本统计模型和特性的分析,指出隐藏消息后可能对文本统计特性带来的变化,并提出了基于AdaBoost的通用检测算法。抽取文本的5个基本统计特征量为分类特征,对自然文本和载密文本进行有效分类检测。实验证明该算法具有较好的适用性和可靠性。 The statistical models and features of natural texts was analyzed, and it was pointed out that embedding messages in texts will change the features of them. According to the changes, a blind detecting method was designed using AdaBoost. Five basic parameters of texts was extracted as distinguished feature vectors to discriminate natural texts and stego-texts effectively using AdaBoost. Experimental results show the high accuracy and reliability of the method.
作者 眭新光 沈蕾 燕继坤 朱中梁
机构地区 信号盲处理国家重点实验室
出处 《通信学报》 EI CSCD 北大核心 2007年第12期136-140,146,共6页 Journal on Communications
关键词 隐写分析 文本 统计特征量 ADABOOST steganalysis text statistical features AdaBoost
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献15

  • 1SUI X G, LUO H, ZHU Z L. A steganalysis method based on the distribution of first letters of words[A]. Proc of 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing[C]. Pasadena, California, USA, 2006.369-372.
  • 2SUI X G, LUO H, ZHU Z L. A steganalysis method based on the distribution of characters[A]. Proc of 2006 International Conference on Signal Processing[C]. Guilin, China, 2006.2599-2602.
  • 3SUI X G, LUO H. A steganalysis method based on the distribution of space characters[A]. Proc of 2006 International Conference on Communications, Circuits and Systems[C]. Guilin, China, 2006.54-56.
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  • 6FARID H, LYU S. Detecting hidden messages using higher-order statistics and support vector machines[A]. The 5^th Information Hiding Workshop[C]. Noordwijkerhout, Netherlands, 2002.340-354.
  • 7LYU S, FARID H. Steganalysis using higher- order image statistics[J]. Information Forensics and Security, IEEE Transactions, 2006,(3): 111- 119.
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二级参考文献9

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共引文献125

同被引文献32

引证文献4

二级引证文献5

通信学报
2007年 第12期

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