Poetry steganalysis based on convolutional neural network

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.