Information Operations Recognition: from Nonlinear Analysis to Decision-making

Aleksandr G. Dodonov; Dmitry V. Lande; Vitaliy V. Tsyganok; Oleh V. Andriichuk; Sergii V. Kadenko; Anastasia N. Graivoronskaya

arXiv · 1901.10876

Information Operations Recognition: from Nonlinear Analysis to Decision-making

Aleksandr G. Dodonov·Dmitry V. Lande·Vitaliy V. Tsyganok·Oleh V. Andriichuk·Sergii V. Kadenko·Anastasia N. Graivoronskaya

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Abstract

The book is dedicated to the issues of information operations recognition based on analysis of information space, particularly, web-resources, social networks, and blogs. In this context, open source intelligence technology (OSINT) solves the problem of initial analysis of modern-time information flows. The book provides a detailed description of mathematical principles of information operations recognition, based on mathematical statistics, nonlinear dynamics, complex networks theory, information and mathematical modeling, sociology. A separate chapter covers the applications of approaches from expert estimation theory and decision-making support to information operation recognition. The book is addressed to a broad circle of specialists from information technology and security domains.

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Aleksandr G. Dodonov, Dmitry V. Lande, Vitaliy V. Tsyganok, Oleh V. Andriichuk, Sergii V. Kadenko, Anastasia N. Graivoronskaya. 2019-02-07. Information Operations Recognition: from Nonlinear Analysis to Decision-making. https://arxiv.org/abs/1901.10876

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