Coverless Text Steganography Based on Half Frequency Crossover Rule

In the development process of the information hiding technology, text steganography is a challenging task for researchers because of the small redundancy of information and the difficulty in hiding information. In this paper, a coverless text steganography method is proposed based on the Markov model and the half frequency crossover rule, which accords with the statistical characteristics of natural language. In order to prove the effectiveness of the algorithm, we select two large scale datasets for modeling and testing. The experimental results show that, compared with similar methods, the proposed model shows better concealment and hidden capacity in steganography.