Abstract

The article deals with the improvement of well-known methods for calculating the entropy of the text, and the description of the information entropy of the text calculating peculiarities in case of the semantic compression attack on the linguistic stegosystem, implemented in the cognominal program complex. The problem of determining the natural language text entropy in the context of further discursive analysis and semantic redundancy removal is formalized. Additional parameters that contribute to determining the semantic entropy of meaningful and artificially generated text for a semantic compression attack on the linguistic stegosystem, the container of which is textual information of natural (English) language are entered. The entropy variety for different language styles is substantiated and its changing according to the style is explained due to the need of adding specialized terminology dictionaries to the general terminology dictionary. In addition to the calculation features of conditional and unconditional entropy in case of using the software complex for attack the linguistic stegosystem, the dictionary size used in it and the prescribed grammar rules size are given, which are the additional parameters determining the entropy calculation in a particular case. The maximum entropy calculation for meaningless texts and the amount of information of a single word or a grammatical form calculation in case of maximum and real entropy are shown. In addition, the calculation of the semantic compression limit is given and the task of determining the semantic information redundancy is formalized. Thus, it becomes possible to determine the quality of the compression attack, carried out on the basis of the software complex use. The obtained results can be used in further research to improve the means of conducting an attack, which will increase its efficiency by maximally approximating the semantic compression limit.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.