Abstract

Information-hiding technology has recently developed into an area of significant interest in the field of information security. As one of the primary carriers in steganography, it is difficult to hide information in texts because there is insufficient information redundancy. Traditional text steganography methods are generally not robust or secure. Based on the Markov chain model, a new text steganography approach is proposed that focuses on transition probability, one of the most important concepts of the Markov chain model. We created a state transition-binary sequence diagrams based on the aforementioned concepts and used them to guide the generation of new texts with embedded secret information. Compared to other related works, the proposed method exploits the use of the transition probability in the process of steganographic text generation. The associated developed algorithm also encrypts the serial number of the state transition-binary sequence diagram needed by the receiver to extract the information, which further enhances the security of the steganography information. Experiments were designed to evaluate the proposed model. The results revealed that the model had higher concealment and hidden capacity compared to previous methods.

Highlights

  • Information hiding is a covert transmission technique occurring via a public channel by hiding meaningful information in non-secret carriers.[1,2,3,4] It is widely used in data secrecy communication, identity authentication, copyright protection of digital works, tracking of piracy and integrity, authenticity identification, content recovery, and so on.Information hiding usually needs a carrier

  • To maximize the quality of the generated natural texts based on the training text and to avoid the steganalysis based on statistical characteristics, we focused on the concept of transition probability in a Markov chain and designed the steganography model based on it

  • The past methods based on this model did not fully use an important concept in the Markov chain, that is, the transition probability

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Summary

Introduction

Information hiding is a covert transmission technique occurring via a public channel by hiding meaningful information in non-secret carriers.[1,2,3,4] It is widely used in data secrecy communication, identity authentication, copyright protection of digital works, tracking of piracy and integrity, authenticity identification, content recovery, and so on.Information hiding usually needs a carrier. Text is widely used as an important medium but it is difficult to use it as an information-hiding carrier because of its low redundancy.[5,6] For the reason, the research results of text-based information-hiding technology are much. Text information hiding based on the format of the carrier. This type of method uses the attribute of text to hide information. It can be divided into the following methods. The first method is realized by changing the line spacing, word spacing, or character feature coding of text. The second method is realized by changing character features, such as size and color. The above methods are easy to implement, but the robustness and security are not high

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