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Information × Registration Number 0226U001887, (0123U102085) , R & D reports Title Information technology of text psycholinguistic analysis for steganographic systems popup.stage_title Методи та засоби психолінгвістичного аналізу тексту для стеганографічних систем Head Prokopenko Tetiana O., Доктор технічних наук Registration Date 02-02-2026 Organization Cherkasy State Technological University popup.description1 Increasing the effectiveness of steganographic information systems by developing methods and means of text's computer analysis based on psycholinguistic properties of its semantic component popup.description2 An important direction in the development of such linguistic steganographic information systems is ensuring a high level of resilience of the embedded information against steganalysis and cryptanalysis. The object of the research is the processes of steganographic information embedding into text and ensuring its robustness. The subject of the research is the methods and tools for embedding steganographic messages into a text container based on psycholinguistic analysis data and encrypting such messages using cryptographic transformation techniques. The aim of this research is to increase the effectiveness of steganographic information systems through the development of methods and tools for computer-based text analysis grounded in the psycholinguistic properties of its semantic component. The main scientific result is the development of an information technology for psycholinguistic text analysis, intended for the subsequent steganographic embedding of a robust digital watermark into a prepared textual steganographic container. The proposed approach includes methods and tools for cryptographic protection of the embedded digital watermark. Within the scope of the research, a set of methods for the psycholinguistic analysis of the semantic component of textual information was developed to enable the effective embedding of a digital watermark using semantic techniques. Based on the proposed methods, tools and information systems were implemented to support watermark embedding into text, taking into account the psycholinguistic and psychosemantic properties of the text’s semantic content. The obtained results demonstrate a 9% increase in the effectiveness of digital watermark embedding into text containers using semantic methods, while maintaining resistance to detection and removal of the embedded identification data. The proposed technology is practically applicable in enterprises and organizations specializing in the creation of textual intellectual property. Product Description popup.authors Lada Nataliia V. Y. V. Tarasenko Serhii V. Rudnytskyi Yuliia V. Rudnytska Volodymyr P. Shapoval Tymofii K. Korotkyi Dmytro A. Pidlasyi popup.nrat_date 2026-02-02 Close