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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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Request a sales quoteManagement 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.
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
Graduate students, researchers, and practitioners across various engineering disciplines including systems engineering, system of systems engineering, software engineering, data science, information technology, acquainting them with recent research outcomes relating to state-of-the-art CIS research
- 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
- No. of pages: 358
- Language: English
- Edition: 1
- Published: September 1, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323993302
- eBook ISBN: 9780323993319
BT
Bedir Tekinerdogan
Dr. 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
Wageningen University, Wageningen, The NetherlandsMA
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, TurkeyCC
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, QatarWH
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 NetherlandsTA
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 NetherlandsRead Management and Engineering of Critical Infrastructures on ScienceDirect