Description
Management and Engineering of Critical Infrastructures focuses on two important aspects of CIS, management and engineering. The book provides an ontological foundation for the models and methods needed to design a set of systems, networks and assets that are essential for a society's functioning, and for ensuring the security, safety and economy of a nation. Various examples in agriculture, the water supply, public health, transportation, security services, electricity generation, telecommunication, and financial services can be used to substantiate dangers. Disruptions of CIS can have serious cascading consequences that would stop society from functioning properly and result in loss of life.Malicious software (a.k.a., malware), for example, can disrupt the distribution of electricity across a region, which in turn can lead to the forced shutdown of communication, health and financial sectors. Subsequently, proper engineering and management are important to anticipate possible risks and threats and provide resilient CIS. Although the problem of CIS has been broadly acknowledged and discussed, to date, no unifying theory nor systematic design methods, techniques and tools exist for such CIS.- Presents key problems, solution approaches and tools developed, or necessary for, assessing and managing critical infrastructures- Investigates basic theory and foundations of current research topics, related challenges, and future research directions for CIS- Offers an interdisciplinary approach, considering management, engineering and specific challenges (dynamism and scalability) surrounding the digitization of CIS services
Table of Contents
PART I Key concepts1. Introduction2. Critical infrastructures: Key concepts and challenges3. Insider threats to critical infrastructure: A typologyPART II Management of critical infrastructures4. Health management of critical digital business ecosystems: A system dynamics approach5. Key performance indicators of emergency management systems6. Responding cyber-attacks and managing cyber security crises in critical infrastructures: A sociotechnical perspectivePART III Engineering of critical infrastructures7. Event-based digital-twin model for emergency management8. Analyzing systems product line engineering process alternatives for physical protection systems9. Reference architecture design for machine learning supported cybersecurity systems10. An architectural framework for the allocation resources in emergency management systemsPART IV Application domains11. Urban water distribution networks: Challenges and solution directions12. Critical infrastructure security: Cyber-threats, legacy systems and weakening segmentation13. Energy systems as a critical infrastructure: Threats, solutions, and future outlook14. Deep learning for agricultural risk management: Achievements and challenges
