Mathematical Research for Blockchain Economy
Springer International Publishing (Verlag)
978-3-030-37112-8 (ISBN)
Every year, thousands of blockchain projects are launched and circulated in the market, and there is a tremendous wealth of blockchain applications, from finance to healthcare, education, media, logistics and more. However, due to theoretical and technical barriers, most of these applications are impractical for use in a real-world business context. The papers in this book reveal the challenges and limitations, such as scalability, latency, privacy and security, and showcase solutions and developments to overcome them.
Dr. Panos Pardalos is a Distinguished Professor in the Department of Industrial and Systems Engineering at the University of Florida, and an affiliated faculty of Biomedical Engineering and Computer Science Information & Engineering departments. In addition, he is the director of the Center for Applied Optimization. Dr. Pardalos is a world renowned leader in Global Optimization, Mathematical Modeling, and Data Sciences. He is a Fellow of AAAS, AIMBE, and INFORMS and was awarded the 2013 Constantin Dr. Panos Pardalos is a Distinguished Professor in the Department of Industrial and Systems Caratheodory Prize of the International Society of Global Optimization. In addition, Dr. Pardalos has been awarded the 2013 EURO Gold Medal prize bestowed by the Association for European Operational Research Societies. This medal is the preeminent European award given to Operations Research (OR) professionals for "scientific contributions that stand the test of time." Dr. Pardalos has been awarded a prestigious Humboldt Research Award (2018- 2019). The Humboldt Research Award is granted in recognition of a researcher's entire achievements to date - fundamental discoveries, new theories, insights that have had significant impact on their discipline. Dr. Pardalos is also a Member of several Academies of Sciences, and he holds several honorary PhD degrees and affiliations. He is the Founding Editor of Optimization Letters, Energy Systems, and Co-Founder of the International Journal of Global Optimization, and Computational Management Science. He has published over 500 journal papers, and edited/authored over 200 books. He is one of the most cited authors and has graduated 63 PhD students so far. Details can be found in www.ise.ufl.edu/pardalos.
Ilias S. Kotsireas serves as a full professor of Computer Science at Wilfrid Laurier University in Waterloo, Ontario, Canada. In 2002 he founded the CARGO Lab, and serves as its director for more than 15 years. He has over 150 refereed journal and conference publications, chapters in books, edited books and special issues of journals, in the research areas of Computational Algebra, Metaheuristics, High-Performance Computing, Dynamical Systems and Combinatorial Design Theory. He serves on the Editorial Board of 7 international journals. He serves as the Managing Editor of a Springer journal and as the Editor-in-Chief of a Springer journal and a Birkhauser book series. He has organized a very large number of international conferences in Europe, North America and Asia, often serving as a Program Committee Chair or General Chair.
Yike Guo is a Professor of Computing Science in the Department of Computing at Imperial College London. He is the founding Director of the Data Science Institute at Imperial College, as well as leading the Discovery Science Group in the department. Professor Guo also holds the position of CTO of the tranSMART Foundation, a global open source community using and developing data sharing and analytics technology for translational medicine. Professor Guo received a first-class honours degree in Computing Science from Tsinghua University, China, in 1985 and received his PhD in Computational Logic from Imperial College in 1993 under the supervision of Professor John Darlington. He founded InforSense, a software company for life science and health care data analysis, and served as CEO for several years before the company's merger with IDBS, a global advanced R&D software provider, in 2009. He has been working on technology and platforms for scientific data analysis since the mid-1990s, where his research focuses on knowledge discovery, data mining and large-scale data management. He has contributed to numerous major research projects including: the UK EPSRC platform project, Discovery Net; the Wellcome Trust-funded Biological Atla
Topological analysis of bitcoin's lightning network.- Token locking for governance.- Collusion attack from hubs in the blockchain offline channel network.- Sharing of encrypted files in block chain made simpler.- Digital currencies: A multivariate GARCH approach.- Compact storage of superblocks for NIPoPoW applications.- On comparing the Influences of exogenous information on bitcoin prices and stock index values.- Performance of tip selection schemes in DAG blockchains.- Committing to quantum resistance, better: A speed-and-risk-configurable defence for bitcoin against a fast quantum computing attack.- Neural networks for cryptocurrency evaluation and price fluctuation forecasting.- Decentralized incentive-compatible and sybilproof transaction advertisement.- PoolSim: A discrete-event mining pool simulation framework.- Oceanic games: centralization risks and incentives in blockchain mining.- Smart contract-driven mechanism design to mitigate information diffusion in social networks.- Balancing cryptoassets and gold: A weighted-risk-contribution index for the alternative asset space.- An introduction to the use of zk-SNARKs in blockchains.
| Erscheinungsdatum | 01.03.2021 |
|---|---|
| Reihe/Serie | Springer Proceedings in Business and Economics |
| Zusatzinfo | VIII, 249 p. 84 illus., 58 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 403 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung |
| Schlagworte | Analysis of mining algorithms • Blockchain • Consensus mechanism design • Cryptocurrency • Cryptoeconomics • distributed applications • Game theoretic analysis • Incentive design • Mathematical Modelling • Novel indices for digital assets • Price variation prediction • Token economics • Verification of smart contracts |
| ISBN-10 | 3-030-37112-3 / 3030371123 |
| ISBN-13 | 978-3-030-37112-8 / 9783030371128 |
| Zustand | Neuware |
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