Method for hiding natural language information

Abstract

The invention discloses a method for hiding natural language information, which is used for hiding secret information through a natural language information platform of a computer. By extracting the traditional method for hiding the natural language information, the integral framework of the method for hiding the natural language information is provided and various traditional carrier transform technologies are comprehensively utilized; compared with the method for embedding / extracting the secrete information by adopting a single algorithm, the method for hiding the natural language information can be used for effectively improving the capacity of a text for embedding the secrete information; meanwhile, according to the method for hiding the natural language information, different algorithms can be selected for combination and the solution is flexibly organized to be embeded / extracted and the effective solutions can be flexibly collocated and selected according to specific applicationcontexts. Due to the abstraction and the unification for the traditional algorithm, the method also facilitates the multiplexing of codes.

Description

technical field [0001] The invention relates to the technical field of information hiding using natural language as a carrier, in particular to a method for extracting and embedding secret information by combining multiple natural language processing technologies to increase the capacity of embedding secret information in text. Background technique [0002] At present, information hiding technology has been concerned by various parties, and its applications include copyright protection, information authentication, covert communication and so on. The so-called information hiding technology refers to hiding secret information with special significance in various carriers through technical means, including digital images, audio files, video files, and text files. On the one hand, it is required that these hidden information are not easily perceived. In this way, the communication process is hidden. On the other hand, the hidden information can be extracted and recovered from th...

AI Technical Summary

Problems solved by technology

Therefore, the embeddable capacity in the current text is the bottleneck of the current secret information technology of natural language text

[0005] (2) For different application scenarios, existing natural language information hiding methods cannot be universally applicable

[0006] For example, using the synonym replacement algorithm to embed secret information in literary works will affect the expressive power of the original text due to the slight difference in the pragmatics of the words, and it is easy to be detected, so that the concealment of the secret information cannot be guaranteed

In addition, for application scenarios where attacks are ubiquitous, for example, network articles are transmitted on the network, and the text will be heavily modified during the process of reprinting and quoting. If a simple method of embedding secret information in the text from left to right is used, the simple Modifying (especially deleting some of them), it is possible to disrupt the synchronization information of the secret information, such as changing the original "01000100" to "1000100", which will cause the extracted secret information to be completely meaningless

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