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Intentional risk management through complex networks analysis

Author: Victor Chapela; Regino Criado; Santiago Moral; Miguel Romance
Publisher: Cham : Springer, 2015.
Series: SpringerBriefs in optimization.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book combines game theory and complex networks to examine intentional technological risk through modeling. As information security risks are in constant evolution, the methodologies and tools to manage them must evolve to an ever-changing environment. A formal global methodology is explained in this book, which is able to analyze risks in cyber security based on complex network models and ideas extracted from  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Victor Chapela; Regino Criado; Santiago Moral; Miguel Romance
ISBN: 9783319264233 3319264230 3319264214 9783319264219
OCLC Number: 932289213
Description: 1 online resource (xv, 126 pages) : color illustrations.
Contents: 1. Intentional Risk and Cyber-security: A motivating introduction --
2. Mathematical Foundations: Complex networks and graphs --
3. Random walkers --
4. The role of Accessibility in the Static and Dynamic Risk computation --
5. Mathematical model I: Static Intentional Risk --
6. Mathematical model II: Dynamic Intentional Risk --
7. Towards the implementation of the model.
Series Title: SpringerBriefs in optimization.
Responsibility: Victor Chapela, Regino Criado, Santiago Moral, Miguel Romance.
More information:

Abstract:

This book combines game theory and complex networks to examine intentional technological risk through modeling. As information security risks are in constant evolution, the methodologies and tools to manage them must evolve to an ever-changing environment. A formal global methodology is explained in this book, which is able to analyze risks in cyber security based on complex network models and ideas extracted from the Nash equilibrium. A risk management methodology for IT critical infrastructures is introduced which provides guidance and analysis on decision making models and real situations. This model manages the risk of succumbing to a digital attack and assesses an attack from the following three variables: income obtained, expense needed to carry out an attack, and the potential consequences for an attack. Graduate students and researchers interested in cyber security, complex network applications and intentional risk will find this book useful as it is filled with a number of models, methodologies and innovative examples.

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