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
(Submitted on 22 Jan 2019 (v1), last revised 7 Feb 2019 (this version, v2)
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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