Text steganalysis using AdaBoost

SUI Xin-guang; SHEN Lei; YAN Ji-kun; ZHU Zhong-liang

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Text steganalysis using AdaBoost

更新时间：2024-10-14

- Text steganalysis using AdaBoost
- Issue 12, Pages: 136-140(2007)
- 作者机构：
  
  1. 信号盲处理国家重点实验室
  2. 信号盲处理国家重点实验室,四川,成都,610041
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP309
- Published：2007
- 稿件说明：
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SUI Xin-guang, SHEN Lei, YAN Ji-kun, et al. Text steganalysis using AdaBoost[J]. 2007, (12): 136-140.
DOI：

SUI Xin-guang, SHEN Lei, YAN Ji-kun, et al. Text steganalysis using AdaBoost[J]. 2007, (12): 136-140. DOI：

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。

Abstract

The statistical models and features of natural texts was analyzed

and it was pointed out that embedding mes-sages 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.

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