Management and Engineering of Critical Infrastructures

1st Edition - September 1, 2023
Editors: Bedir Tekinerdogan, Mehmet Aksit, Cagatay Catal, William Hurst, Tarek AlSkaif
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 3 3 0 - 2
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 3 3 1 - 9

Management and Engineering of Critical Infrastructures focuses on two important aspects of CIS, management and engineering. The book provides an ontological foundation for the mo… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Contributors
Part I: Key concepts
Chapter 1: Introduction
Abstract
1: Objectives
2: Outline
Chapter 2: Critical infrastructures: Key concepts and challenges
Abstract
1: Introduction
2: Domain analysis
3: Domain description and definitions
4: Stakeholders of critical infrastructures
5: Key terms
6: Feature model of critical infrastructures
7: Critical infrastructure types
8: Challenges
9: Conclusion
Appendix. Glossary
References
Chapter 3: Insider threats to critical infrastructure: A typology
Abstract
1: Introduction
2: Theoretical framework
3: Methodology
4: A typology of insider threats to critical infrastructure
5: Limitations
6: Conclusion and discussion
References
Part II: Management of critical infrastructures
Chapter 4: Health management of critical digital business ecosystems: A system dynamics approach
Abstract
1: Introduction
2: Background
3: Methodology
4: Model conceptualization
5: Structural validation
6: Discussion
7: Conclusion
References
Chapter 5: Key performance indicators of emergency management systems
Abstract
Acknowledgment
1: Introduction
2: Background work and research questions
3: Definition of key performance indicators for emergency management
4: Examples
5: Threats to validity
6: A proof-of-concept implementation
7: Conclusions
References
Chapter 6: Responding cyber-attacks and managing cyber security crises in critical infrastructures: A sociotechnical perspective
Abstract
1: Introduction
2: Critical infrastructures as complex sociotechnical systems
3: Grasping the nature of crisis
4: Decision-making and organizational culture in managing cyber security crisis
5: Conclusion: Lessons learned from crises and future prospects
References
Part III: Engineering of critical infrastructures
Chapter 7: Event-based digital-twin model for emergency management
Abstract
Acknowledgment
1: Introduction
2: Example case, background work, and problem statement
3: The approach
4: Discussion and related work
5: Conclusion
References
Chapter 8: Analyzing systems product line engineering process alternatives for physical protection systems
Abstract
1: Introduction
2: Physical protection systems
3: Product line engineering process alternatives
4: Evaluation method
5: Related work
6: Conclusions
References
Chapter 9: Reference architecture design for machine learning supported cybersecurity systems
Abstract
Availability of data and material
Conflict of interest
1: Introduction
2: Background
3: Reference architectures for cybersecurity systems
4: Reference architectures for machine learning systems
5: Designing a reference architecture for machine learning-supported cybersecurity systems
6: Related work
7: Discussion
8: Conclusion
References
Chapter 10: An architectural framework for the allocation resources in emergency management systems
Abstract
Acknowledgment
1: Introduction
2: Example case, background work, and research questions
3: The approach
4: Case studies
5: Threats to validity
6: Conclusions
References
Part IV: Application domains
Chapter 11: Urban water distribution networks: Challenges and solution directions
Abstract
Acknowledgments
1: Introduction
2: Challenges in water pressurized networks
3: Research directions and actions
4: Discussion
5: Conclusions
References
Chapter 12: Critical infrastructure security: Cyber-threats, legacy systems and weakening segmentation
Abstract
1: The emerging cyber-threat
2: ICS attack success
3: Conclusion
References
Chapter 13: Energy systems as a critical infrastructure: Threats, solutions, and future outlook
Abstract
1: Introduction
2: Sources of criticality
3: Potential solutions and technologies for energy system resilience
4: Challenges and future outlook
5: Conclusions
References
Chapter 14: Deep learning for agricultural risk management: Achievements and challenges
Abstract
Data availability statement
Declaration of competing interest
1: Introduction
2: Background
3: Methodology
4: Results and discussions
5: Conclusions
Appendix. Data extraction form
References
Index

Bedir Tekinerdogan

Bedir Tekinerdogan is a full professor and chair of the Information Technology group at Wageningen University in The Netherlands. He received his MSc degree (1994) and a PhD degree (2000) in Computer Science, both from the University of Twente, The Netherlands. From 2003 until 2008 he was a faculty member at University of Twente, after which he joined Bilkent University until 2015. He has more than 20 years of experience in software engineering research and education. His main research includes the engineering of smart software-intensive systems. In particular, he has focused on and is interested in software architecture design, software product line engineering, model-driven development, parallel computing, cloud computing and system of systems engineering. He has been active in dozens of national and international research and consultancy projects with various large software companies whereby he has worked as a principal researcher and leading software/system architect. He has developed and taught more than 15 different academic software engineering courses and has provided software engineering courses to more than 50 companies in The Netherlands, Germany and Turkey.

Affiliations and expertise

Full Professor, Information Technology Group, Wageningen University and Research, The Netherlands

Mehmet Aksit

Dr. Aksit is currently a Full Professor at TOBB ETÜ and the Director of the Smart-Cities and Digital Ecosystems Research Lab. He holds an M.Sc. degree from the Eindhoven University of Technology and a Ph.D. degree from the University of Twente. He was Full Professor and Software Engineering Chair at the University of Twente (2000-2019). As a visiting scientist, in 1989 he was at the IBM T. J. Watson Research Laboratory, New York, in 1993 at the University of Tokyo, in 1994 at the New Jersey Institute of Technology and in 2019 at University of Malaya at KL. He and the members of the group were the pioneers of aspect-oriented programming (Sina & Composition Filters), synthesis based controlled problem-solving techniques, fuzzy-logic based techniques to modelling software design heuristics and processes, software architecture design methods and software metrics. He has given courses in Canada, Denmark, France, Germany, Hungary, Ireland, Italy, Netherlands, Portugal, Spain, Sweden, Switzerland, Turkey and in the US. He has organized special training programs for multi-national companies. He has designed various large-scale software architectures, which some of them are currently being utilized in products. Some of the research tools developed by the chair are now being used in some industrial applications. He has been working as a consultant for Dutch Ministry of Traffic, Dutch Tax office, Ericsson, Philips, ASML, Océ, Thales, Beko-Grundig, TAI, Aselsan, Havelsan, Roketsan, Capgemini, Siemens, Softtech. He has served in the review and strategic planning for various EU projects. With the TÜBITAK grant, " Outstanding International Researchers“, he has established the Smart-City Research Lab in Ankara. As an application of smart-City systems, he has recently focused on managing pandemic disasters. To this aim, he has pioneered the establishment of the Alliance on Digital Management of Pandemic Disasters.

Affiliations and expertise

Full Professor, Department of Engineering, TOBB University of Economics and Technology, Ankora, Turkey

Cagatay Catal

Dr. Catal is Professor of Computer Science at Qatar University, Doha. He obtained his PhD degree in Computer Engineering from Yildiz Technical University, Istanbul in 2008. Prior to joining Qatar University, he worked as a Full Professor in the department of Computer Engineering, Bahcesehir University in Istanbul (2020- 2021), as a full-time faculty member at Wageningen University & Research (WUR), The Netherlands before joining Bahcesehir University, and as Associate Professor and Head of Department, Computer Engineering at Istanbul Kultur University Before joining the university, he worked 8 years at the Scientific and Technological Research Council of Turkey (TUBITAK), Information Technologies Institute as a Senior Researcher and Project Manager. His research interests include deep learning, machine learning, natural language processing, software engineering, software testing, and software architecture.

Affiliations and expertise

Professor of Computer Science, Qatar University, Doha, Qatar

William Hurst

Dr Hurst is an Assistant Professor in Data Science in the Information Technology Group. He has over 70 international publications in the areas of data science, creative technologies, critical infrastructure protection, simulation and 3D graphics. He has held several grants as Principal Investigator; some of which include EPSRC-funded 'Data Analytics for Health-Care Profiling using Smart Meters' (EP/R020922/1), InnovateUK-funded Productivity Accelerator, ICURe/InnovateUK-funded 'Personalised Health Care Monitoring usingSmart Meter Energy Readings' and Made Smarter-funded 'Digital Twin for Space Planning'. Prior to working at WUR, he was an award-winning Reader (Associate Professor) in Creative Technologies in the Department of Computer Science at Liverpool John Moores University, where he worked for 6 years. During this time he taught a variety of subjects including Data Visualisation, Digital Games Content Production, Internet and Web Technologies, Research Skills, Interactive Multimedia Systems, Advanced Multimedia, Digital Storytelling and Interactive media and games development. His education includes a PGCert (Distinction) in Higher Education, a PhD in Computer Science (scholarship - focusing on Critical Infrastructures), an MSc with Distinction in Web Computing and a BSc(Hons) in Product Design.

Affiliations and expertise

Assistant Professor in Data Science, Information Technology Group, Wageningen University and Research, The Netherlands

Tarek AlSkaif

Tarek AlSkaif is an Assistant Professor with Tenure-track at the Information Technology group (INF), Wageningen University & Research (WUR). He received the Ph.D. degree (Cum-laude) from Universitat Politècnica de Catalunya (UPC BarcelonaTech), Statistical Analysis of Networks and Systems (SANS) research group, Spain in 2016 and obtained the B.Sc. degree and the M.Sc. degree in Computer and Electrical Engineering from Damascus University, Syria in 2007 and 2011, respectively. Tarek is passionate about sustainability and the Energy Transition and believes in the key role of Information Technology in enabling that. Between 2016 - 2020, he was a postdoc in the Energy & Resources group at the Copernicus Institute of Sustainable Development, Utrecht University, The Netherlands, focusing on different research problems in smart grids and smart cities, including smart energy systems design, local energy communities, solar energy forecasting, smart integration of electric vehciles, among others, all with an emphasis on using ICT platforms, modeling, data analytics and artificial intelligence. Between 2016 and 2019, he was mainly working on the EU-project: PARticipatory platform for sustainable ENergy managemenT (PARENT), JPI, Urban Europe. Between 2018 and 2020, he initiated and coordinated the project: "A Blockchain-based platform for peer-to-peer energy transactions between Distributed Energy Resources (B-DER)" under the framework TKI-Urban Energy, Topsector Energie. Tarek has also been actively involved in other EU and Dutch research projects that uses ICT to facilitate the Energy Transition, such as the EU project Smart EV Solar Charging and the NWO project Energy Intranets (NEAT).

Affiliations and expertise

Assistant Professor with Tenure-track, Information Technology Group (INF), Wageningen University and Research (WUR), The Netherlands