Handbook for Management of Threats (eBook)

Security and Defense, Resilience and Optimal Strategies

Konstantinos P. Balomenos, Antonios Fytopoulos, Panos M. Pardalos (Herausgeber)

eBook Download: PDF

2023 | 1st ed. 2023
XVI, 537 Seiten
Springer International Publishing (Verlag)
978-3-031-39542-0 (ISBN)

Infos

In answer to the unprecedented challenges and threats that face today's globalized world, the primary goal of this Handbook is to identify the most probable threats that have affected humanity in recent years and our world in years to come. The Handbook comprises mostly expository chapters that discuss tested methods/algorithms, case studies, as well as policy decision-making techniques surrounding threats and unnatural disasters, to evaluate their effects on people and to propose ways to mitigate these effects.  In several chapters, new approaches and suggested policies supplement algorithms that are already in practice. The curated content brings together key experts from the academic and policy worlds to formulate a guide of principal techniques employed to gain better control over selected types of threats.

This Handbook explores a wide range of technologies and theories and their impact on countering threats. These include artificial intelligence, machine learning, variational inequality theory, game theory, data envelopment analysis, and data-driven risk analysis. These tools play a vital role in decision-making processes and aid in finding optimal solutions. Additionally, a variety of optimization techniques are employed. These include (mixed) integer linear programming models for identifying critical nodes in complex systems, heuristics, approximation algorithms, and bilevel mixed integer programming for determining the most impactful links in dynamic networks. Furthermore, simulation tools are described that enable the quantification of societal resilience. These techniques collectively provide a mathematical framework capable of quantifying fundamental aspects of threats. They equip policymakers with the necessary tools and knowledge to minimize the impact of unnatural threats.

The expected readership is wide and includes officials working in technical and policy roles in various ministries such as the Ministry of Defense, Civil Protection, Ministry of Public Order and Citizen Protection, United Nations, European Institutions for Threat Management, NATO, Intelligence Agencies, Centers of Excellence for Countering Threats, Think Tanks, Centers for Policy Studies, Political Leaders, the European Commission, National Institutes, International Organizations, Strategic Consulting Experts, Policymakers, and Foreign Affairs personnel. Some of these national or international organizations employ algorithms to measure resilience and enhance security. Quantification is challenging but crucial in the scenarios discussed in the book. This Handbook will also prove valuable to various universities (non-practitioners), studying systems engineering, leadership, management, strategy, foreign affairs, politics, and related disciplines.

Konstantinos Balomenos is Political and International Relations scientist and Director General of General Directorate of National Defense Policy & International Relations, Hellenic Ministry of National Defense.

Antonios Fytopoulos graduated from the Hellenic Army Academy as an officer and pursued a military career, where he received numerous awards. In 2018 he received his diploma from the School of Chemical Engineering of the National Technical University of Athens, where he graduated in the top 5% of his class. In 2017 he joined KU Leuven as a Ph.D. candidate in the Department of Chemical Engineering. His Ph.D. project focused on population balance-based optimization of deracemization processes for pharmaceutical applications. He has participated and presented his research at several national and international conferences and coauthored articles in international peer-reviewed journals.

Panos M. Pardalos serves as Distinguished Professor of Industrial and Systems Engineering at the University of Florida (Emeritus). He is also an affiliated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the Biomedical Engineering Program. Dr. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing. He has co-authored and co-edited more than 50 books, as well as publishing more than 600 journal articles and conference proceedings. Prof. Pardalos is a Fellow of AAAS (American Association for the Advancement of Science), Fellow of American Institute for Medical and Biological Engineering (AIMBE), and EUROPT. He is a Distinguished International Professor by the Chinese Minister of Education; Honorary Professor of Anhui University of Sciences and Technology, China; Elizabeth Wood Dunlevie Honors Term Professor; Honorary Doctor, V.M. Glushkov Institute of Cybernetics of The National Academy of Sciences of Ukraine; Foreign Associate Member of Reial Academia de Doctors, Spain; and Advisory board member of the Centre for Optimisation and Its Applications, Cardiff University, UK. He is also the recipient of UF 2009 International Educator Award; Medal (in recognition of broad contributions in science and engineering) of the University of Catani, Italy; EURO Gold Medal (EGM); Honorary Doctor of Science Degree, Wilfrid Laurier University, Canada; Senior Fulbright Specialist Award; University of Florida Research Foundation Professorship; and IBM Achievement Award.

Produkt-Details

• Erscheint lt. Verlag: 26.12.2023
• Reihe/Serie: Springer Optimization and Its Applications
• Reihe/Serie: Springer Optimization and Its Applications
• Zusatzinfo: XVI, 537 p. 110 illus., 78 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Sozialwissenschaften ► Politik / Verwaltung
• Schlagworte: Civil-Military Cooperation • handbook threat management • (mixed) integer linear programming models • threats artificial intelligence • threats machine learning • β-disruptor based framework
• ISBN-10: 3-031-39542-5 / 3031395425
• ISBN-13: 978-3-031-39542-0 / 9783031395420