Buch, Englisch, 126 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2292 g
Buch, Englisch, 126 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2292 g
Reihe: SpringerBriefs in Optimization
ISBN: 978-3-319-26421-9
Verlag: Springer International Publishing
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 ofmodels, methodologies and innovative examples.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Management Risikomanagement
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Mathematik | Informatik Mathematik Operations Research Spieltheorie
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
Weitere Infos & Material
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.
