基于卷积神经网络的诗词隐写检测方法  

Poetry steganalysis based on convolutional neural network

作　　者：金鹏 杨忠良[1,2] 黄永峰 Jin Peng;Yang Zhongliang;Huang Yongfeng(Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;Tsinghua National Laboratory of Information Science and Technology,Beijing 100084,China)

机构地区：[1]清华大学电子工程系,北京100084 [2]清华信息科学与技术国家实验室,北京100084

出　　处：《电子技术应用》2018年第10期114-117,126,共5页Application of Electronic Technique

摘　　要：利用诗词作为载体实现文本信息隐藏是近两年非常热门的研究方向。这一类方法具有隐藏容量大并且隐蔽性高的优点。然而现在还没有针对这一类方法的非常有效的隐写检测算法。提出了一种基于卷积神经网络的诗词隐写检测算法,该算法能自动判断输入的文本是否含有隐藏信息。通过大量数据对模型进行训练并测试,实验结果显示所提出的模型能达到94.8%的检测准确率,表现出非常高的诗词隐写检测性能。Using Chinese poetry as a carrier to realize text information hiding(IH)is a very hot research topic in the resent years.This kind of method has the advantages of large capacity and high concealment.However there isn′t a very effective steganalysis detection algorithm according to this kind of method.This paper puts forward a kind of poetry steganalysis detection algorithm based on convolution neural network(CNN),which can automatically judge whether the text of the input contains hidden information or not.Through training and testing the model by a large amount of data,the experiment results show that the proposed model can achieve 94.8%of detection accuracy,which shows very high poetry steganographic detection performance.

关 键 词：卷积神经网络 信息隐藏 隐写检测 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]