Information Operations Recognition: from Nonlinear Analysis to Decisionmaking
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,
webresources, social networks, and blogs. In this context, open
source intelligence technology (OSINT) solves the problem of
initial analysis of moderntime 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 decisionmaking support to information
operation recognition.
The book is addressed to a broad circle of specialists from
information technology and security domains.
