Cyber-Security in Critical Infrastructures A Game-Theoretic Approach

Synopsis

This book presents a compendium of selected game- and decision-theoretic models to achieve and assess the security of critical infrastructures. Given contemporary reports on security incidents of various kinds, we can see a paradigm shift to attacks of an increasingly heterogeneous nature, combining different techniques into what we know as an advanced persistent threat. Security precautions must match these diverse threat patterns in an equally diverse manner; in response, this book provides a wealth of techniques for protection and mitigation.

Much traditional security research has a narrow focus on specific attack scenarios or applications, and strives to make an attack “practically impossible.” A more recent approach to security views it as a scenario in which the cost of an attack exceeds the potential reward. This does not rule out the possibility of an attack but minimizes its likelihood to the least possible risk. The book follows this economic definition of security, offering a management scientific view that seeks a balance between security investments and their resulting benefits. It focuses on optimization of resources in light of threats such as terrorism and advanced persistent threats. 

Drawing on the authors’ experience and inspired by real case studies, the book provides a systematic approach to critical infrastructure security and resilience. Presenting a mixture of theoretical work and practical success stories, the book is chiefly intended for students and practitioners seeking an introduction to game- and decision-theoretic techniques for security. The required mathematical concepts are self-contained, rigorously introduced, and illustrated by case studies. The book also provides software tools that help guide readers in the practical use of the scientific models and computational frameworks.

Book details

Edition:

1st ed. 2020

Series:

Advanced Sciences and Technologies for Security Applications

Author:

Quanyan Zhu, Stefan Rass, Stefan Schauer, Sandra König

ISBN:

9783030469085

Related ISBNs:

9783030469078

Publisher:

Springer International Publishing

Pages:

N/A

Reading age:

Not specified

Includes images:

Yes

Date of addition:

2020-08-20

Usage restrictions:

Copyright

Copyright date:

2020

Copyright by:

Springer Nature Switzerland AG 

Adult content:

No

Language:

English

Categories:

Computers and Internet, Mathematics and Statistics, Nonfiction, Social Studies, Technology