Information Operations Recognition: From Nonlinear Analysis to Decision-Making

Paperback, 292 pages

English language

Published by Lambert.

ISBN:
978-620-0-27697-1
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5 stars (2 reviews)

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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Information Operations Recognition - a good read for analysts

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I found this book extremely helpful - it pulled together a lot of things I already knew how to do, and it's got me looking for how to apply spectral analysis to the sort of data I handle.

The table of contents would be more useful for any would-be reader than my opinions.

  1. Information operations.

1.1. Information influence.

1.2. Information operation phases.

1.3. Information operations modeling.

1.4. Information operation recognition problem

1.5. Information operation counteraction problem

1.6. Document analysis

  1. OSINT - open source intelligence.

2.1. OSINT as intelligence domain.

2.1.1. OSINT application spheres.

2.1.2. International experience.

2.2. Information space monitoring.

2.3. Information sources.

2.3.1. The web-space.

2.3.2. Deep web

2.3.3. Social media..

2.3.4. Databases of open sources.

2.4. OSINT technologies

2.5. Legal aspects.

  1. Elements of non-linear dynamics for information

operations recognition

3.1. Time series

3.2. Correlation analysis

3.3. Fourier analysis

3.4. Wavelet analysis

3.5. Correlation with a pattern

3.6. Fractal …

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