Method for computerized modification of english text based on psychosemantic properties
Abstract
The article investigates the possibility of using psychosemantic properties to protect textual information with limited access. The developed method of computerized modification of English texts allows to increase the effectiveness of preventing the illegal distribution and use of textual information compared to methods that do not take into account the psychosemantic component. This makes it possible to protect modified semantically indivisible elements from their possible distortion or removal, given the threat of potential informational influences. The method allows to protect text documents and counteract cyber sabotage. To achieve the main aim of the article, it is decided to form psychosemantic properties on the basis of categorical apparatus and psycholinguistic profile. This makes it possible to embed the marker into a semantically indivisible component more effectively. In developing this method, the method of calculating the coherence of the text has been also improved and the worlds of perception of the semantic particle have been taken into account. Due to this, it becomes possible to increase the overall level of the text modification efficiency and the naturalness of its perception. The process of computerized modification of English texts with the help of computer tools has been simulated. The results of the comparison with similar approaches allow us to draw preliminary conclusions about the higher efficiency when working with medium and high volume texts. The obtained experimental data also make it possible to determine the resistance of the texts modified by the developed method to the use of specialized means of semantic removal of existing markers. It is revealed that semantic compression had not removed any modified objects. The proposed method can be used in Data Loss Prevention systems and Digital Signature systems. Further development of a steganographic protocol for digital watermark embedding is envisaged with the help of the developed method of English texts modification
Keywords
computerized text modification; psychosemantic properties; semantically indivisible component; information with limited access; quantum-semantic analysis; subjective perception of semantics
References
[1] Decree of the President of Ukraine "On the decision of the National Security and Defense Council of Ukraine on October 15, 2021 "About the Strategy of information security of Ukraine". [Online]. Available: https://zakon.rada.gov.ua/laws/show/47/201 7#Text. Accessed on: Febr. 18, 2022 [in Ukrainian].
[2] 2020 Cost of Insider Threats Global Report, 2020. [Online]. Available: https://www.exclusive-networks.com/ uk/wpcontent/uploads/sites/ 28/2020/12/UK-VR-Proofpoint-Report-2020-Cost-of-Insider-Threats.pdf. Accessed on: Febr. 20, 2022.
[3] S. Chen, J. Wang, X. Feng, F. Jiang, B. Qin, and C.-Y. Lin, "Enhancing neural data-totext generation models with external background knowledge", in Proc. 2019 Conf. on Empirical Methods in Natural Language Processing and 9th Int. Joint Conf. on Natural Language Processing, Hong Kong, China, Nov. 3-7, 2019, pp. 3022-3032.
[4] S. Welleck, K. Brantley, H. Daume III, and K. Cho, "Non-monotonic sequential text generation", in Proc. 36th Int. Conf. on Machine Learning, Long Beach, USA, June 10-15, 2019.
[5] T. C. Ferreira, C. van der Lee, E. van Miltenburg, and E. Krahmer, "Neural data-to-text generation: A comparison between pipeline and end-to-end architectures", in Proc. 2019 Conf. on Empirical Methods in Natural Language Processing and 9th Int. Joint Conf. on Natural Language Processing, Hong Kong, China, Nov. 3-7, 2019, pp. 552-562.
[6] Y. Yu, D. Qiu, and R. Yan, "A quantum language-inspired tree structural text representation for semantic analysis", Mathematics, no. 10 (6), p. 914, 2022.
[7] S. Y. Feng, A. W. Li, and J. Hoey, "Keep calm and switch on! Preserving sentiment and fluency in semantic text exchange", in Proc. 2019 Conf. on Empirical Methods in Natural Language Processing and 9th Int. Joint Conf. on Natural Language Processing, Hong Kong, China, Nov. 3-7, 2019, pp. 2701-2711.
[8] S. D. Pogorilyy, and A. A. Kramov, "Method of the coherence evaluation of Ukrainian text", Reiestratsiia, zberihannia i obrobka danykh, vol. 20, no. 4, pp. 64-75, 2018 [in Ukrainian].
[9] Ya. V. Tarasenko, "The method of English text's computerized formation in accordance with the propagandist's psycholinguistic portrait", Zakhyst informatsii, vol. 22, no. 2, pp. 66-73, 2020 [in Ukrainian].
[10] Ya. Tarasenko, "The quantum-semantic psycholinguistic analysis method for the english-language text of propaganda discourse", Advanced Information Systems, vol. 3, no. 4, pp. 62-68, 2019.
[11] Ya. V. Tarasenko, "Method of detection and preservation of indivisible semantic component of English manipulative text of propaganda discourse based on quantum formalism", Visnyk Cherkaskogo derzhavnogo tekhnolohichnogo universytetu. Tekhnichni nauky, no. 1, pp. 70-78, 2021 [in Ukrainian].
[12] Ya. V. Tarasenko, "The method of semantic noise addition according to the propagandist's individual semantic line", Bezpeka informatsii, vol. 27, no. 2, pp. 100108, 2021 [in Ukrainian].
[13] C. E. Osgood, and P. H. Tannenbaum, "The principle of congruity in the prediction of attitude change", Psychological Review, no. 62 (1), pp. 42-55, 1955.
[14] Ya. V. Tarasenko, "Means of assessing the propagandist’s attitude to the text of the reverse psychological influence", Visnyk Vinnytskoho politekhnichnoho instytutu, no. 4, pp. 78-84, 2021 [in Ukrainian].
[15] Ya. V. Tarasenko, O. B. Piven and I. M. Fedotova-Piven, "Method of the textual information semantic compression for counteracting computer linguistic steganography", Nauka i tekhnika Povitrianykh Syl Zbroinykh Syl Ukrainy, no. 3 (32), pp. 68-78, 2018 [in Ukrainian].