Managing the Complexity of Critical Infrastructures - Modelling
Managing the Complexity of Critical Infrastructures - Modelling
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In this review of Managing the Complexity of Critical Infrastructures: A Modelling and Simulation Approach the book is presented as a technical, course-ready resource for engineers and researchers working on critical infrastructure protection and resilience. The single biggest reason to buy is that it consolidates tutorial material developed under the CIPRNet project into a coherent, open access volume, making advanced modelling and simulation methods accessible for academic courses and practical CI analysis.
Key Features
- Open access licensing: The CC BY 4.0 licence allows readers to reuse and redistribute the material for teaching and research without barrier.
- Project-backed content: Chapters reflect work from the CIPRNet research network, giving practical relevance to modelling and resilience topics.
- Tutorial structure: The book collects course material that guides readers through modelling, simulation and analysis techniques in a stepwise manner useful for classroom and workshop use.
- Cross-disciplinary focus: Content bridges systems, decision and control perspectives to help readers understand interdependencies in critical infrastructures.
- European research context: The text summarizes methods and case studies produced under EU Seventh Framework Programme funding, offering policy-relevant insight.
Who It's For
This volume is best for graduate students, university instructors and researchers in systems engineering, control systems and infrastructure resilience who need a ready-made set of tutorials and references grounded in an active research programme. Practitioners seeking structured simulation approaches for CI preparedness will find practical value in the assembled methods.
Readers looking for a beginner's introduction to general infrastructure topics or a fully comprehensive textbook on every sector should look elsewhere, as the book is focused on modelling and simulation material developed within a specific research network rather than broad popular-audience coverage.
Pros & Cons
Pros
- Consolidated tutorial material from the CIPRNet project makes it straightforward to adopt for courses and workshops.
- Open access CC BY 4.0 licence removes paywall hurdles for educators and researchers.
- Emphasis on modelling and simulation provides concrete techniques applicable to critical infrastructure resilience planning.
Cons
- As a specialised compilation, it assumes prior technical background and is not a general-audience primer.
Specifications
| Title | Managing the Complexity of Critical Infrastructures: A Modelling and Simulation Approach |
| Series | Studies in Systems, Decision and Control, 90 |
| Authors / Editors | Roberto Setola, Vittorio Rosato, Elias Kyriakides, Erich Rome |
| Access | Open access under CC BY 4.0 licence |
| Context | Material developed within the CIPRNet project (EU FP7) |
| Focus | Modelling, simulation and analysis of critical infrastructures |
Our Verdict
For instructors and researchers focused on critical infrastructure protection and resilience, this book is a practical, good-value compilation that packages CIPRNet tutorial material into an accessible reference. Its open access licence and tutorial orientation make it especially useful for academic adoption, though newcomers to the field may need supplemental introductory material.
Frequently Asked Questions
Is the book free to use for teaching?
Yes, it is published under a CC BY 4.0 licence, permitting reuse in courses with attribution.
Does it include hands-on simulation examples?
The book collects tutorial material on modelling and simulation; readers can expect stepwise methods suited to teaching and practical analysis.
Who produced the content?
The chapters summarize work done in the CIPRNet research project, co-funded by the European Union under FP7.
Editor's Take
A practical, open access compilation of CIPRNet tutorial material, ideal for researchers and instructors in critical infrastructure modelling and simulation who need course-ready methods and policy-relevant case context.

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