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MATLIST
Mature Linguistic Steganography Methodology
The text generated by Natural Language Generation (NLG) and template systems is meaningful and looks legitimate. Therefore, the Mature Linguistic Steganography (Matlist) Methodology employs NLG and template techniques along with Random Series (RS) values (e.g., binary, decimal, hexadecimal, octal, alphabetic, alphanumeric, etc.) of a Domain-Specific Subject (DSS) to generate noiseless text-cover [27]. This type of DSS, e.g., financial, medical, mathematical, scientific, and economical, has plenty of room to conceal data and allows communicating parties to establish a covert channel, such as a relationship based on the profession of the communicating parties, to transmit a text cover. Matlist ...
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