This brief introduces game- and decision-theoretical techniques for the
analysis and design of resilient interdependent networks. It unites game
and decision theory with network science to lay a system-theoretical
foundation for understanding the resiliency of interdependent and
heterogeneous network systems.
The authors pay particular attention to critical infrastructure systems,
such as electric power, water, transportation, and communications. They
discuss how infrastructure networks are becoming increasingly
interconnected as the integration of Internet of Things devices, and how
a single-point failure in one network can propagate to other
infrastructures, creating an enormous social and economic impact. The
specific topics in the book include:
- static and dynamic meta-network resilience game analysis and design;
- optimal control of interdependent epidemics spreading over complex
networks; and
- applications to secure and resilient design of critical
infrastructures.
These topics are supported by up-to-date summaries of the authors'
recent research findings. The authors then discuss the future challenges
and directions in the analysis and design of interdependent networks and
explain the role of multi-disciplinary research has in computer science,
engineering, public policy, and social sciences fields of study.
The brief introduces new application areas in mathematics, economics,
and system and control theory, and will be of interest to researchers
and practitioners looking for new approaches to assess and mitigate
risks in their systems and enhance their network resilience. A Game-
and Decision-Theoretic Approach to Resilient Interdependent Network
Analysis and Design also has self-contained chapters, which allows for
multiple levels of reading by anyone with an interest in game and
decision theory and network science.
