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DOI: 10.17587/it.27.470-477 P. B. Khorev, Associate Professor, e-mail: pbkh@yandex.ru, A. V. Sergeev, Post-Graduate Student, e-mail: profitdre@gmail.com, National Research University "Moscow Power Engineering Institute", Moscow, Russian Federation Property Analysis and Criteria for Detecting Hidden Data in Microsoft Word Documents In this article, we propose detecting hidden elements in docx documents. Using the feature of the format structure, we analyze the most profitable stegocontainer. It is proposed to consider three options for investing in a stegocontainer in order to obtain the most objective estimates of the deviation. A comprehensive assessment is carried out from the tested data on the basis of which it was proposed to detect hidden elements in Microsoft Word documents. |