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Author : Zhong-Yuan Zhang,Jianguo Liu,Xiao Fan Liu,Cuneyt Gurcan Akcora
Publisher : Frontiers Media SA
Page : 120 pages
File Size : 53,5 Mb
Release : 2022-08-19
Category : Science
ISBN : 9782889767991
Author : Hong-Ning Dai,Xuanzhe Liu,Daniel Xiapu Luo,Jiang Xiao,Xiangping Chen
Publisher : Springer Nature
Page : 652 pages
File Size : 44,7 Mb
Release : 2021-12-02
Category : Computers
ISBN : 9789811679933
This book constitutes the thoroughly refereed post conference papers of the Third International Conference on Blockchain and Trustworthy Systems, Blocksys 2021, held in Guangzhou, China, in August 2021.*The 38 full papers and the 12 short papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections: Contents Blockchain and Data Mining; Performance Optimization of Blockchain; Blockchain Security and Privacy; Theories and Algorithms for Blockchain; Blockchain and Internet of Things; Blockchain and Smart Contracts; Blockchain Services and Applications; Trustworthy System Development.*
Author : Nicolas Christin,Reihaneh Safavi-Naini
Publisher : Springer
Page : 506 pages
File Size : 47,7 Mb
Release : 2014-11-08
Category : Computers
ISBN : 9783662454725
This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Conference on Financial Cryptography and Data Security (FC 2014), held in Christ Church, Barbados, in March 2014. The 19 revised full papers and 12 short papers were carefully selected and reviewed from 165 abstract registrations and 138 full papers submissions. The papers are grouped in the following topical sections: payment systems, case studies, cloud and virtualization, elliptic curve cryptography, privacy-preserving systems, authentication and visual encryption, network security, mobile system security, incentives, game theory and risk, and bitcoin anonymity.
Author : Huawei Huang,Jiajing Wu,Zibin Zheng
Publisher : Springer Nature
Page : 226 pages
File Size : 42,8 Mb
Release : 2023-09-06
Category : Technology & Engineering
ISBN : 9789819936489
The Metaverse seamlessly integrates the real world with the virtual world and allows avatars to engage in a broad range of activities including entertainment, social networking, and trading. In this book, we dive into the Metaverse by discussing how blockchains connect various Metaverse components, digital currencies, and blockchain-empowered applications in the virtual world. On the other hand, Web3 has also attracted considerable attention due to its uniquely decentralized characteristics. The digital economy, currently undergoing a rapid development, is a critical driver to highly efficient societies. It is imperative that we investigate how to use Web3 technologies to address the critical concerns encountered during the development of the digital economy by fully exploring Web3. In this book, we also share insights into the Web3-based ecosystem in the Metaverse; topics of interest include decentralized finance, digital assets, the asset-trading market, etc. Unlike most works on the subject, this book mainly concentrates on insights and discussions regarding blockchain, the Metaverse and Web3. In other words, it focuses on using blockchain technologies to enable an ecosystem for both the Metaverse and Web3. Topics addressed include blockchain fundamentals, smart contracts, value circulation in the Metaverse, the connection between the Metaverse and Web3, the establishment of the Metaverse on the basis of blockchain technologies, decentralized autonomous organization, decentralized storage, digital economy, Web3-based economic systems for the Metaverse, etc. This book will be a valuable resource for students, researchers, engineers, and policymakers working in various areas related to blockchain, the Metaverse and Web3. We hope that it will also inspire readers from academia and industry alike, and ultimately help them create a truly open, fair, and rational ecosystem for the Metaverse and Web3.
Author : Zibin Zheng,Hong-Ning Dai,Jiajing Wu
Publisher : Springer Nature
Page : 170 pages
File Size : 45,5 Mb
Release : 2021-05-31
Category : Computers
ISBN : 9789811601279
This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain data analytics, it also presents big data research on blockchain systems. Despite blockchain's merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems. This book focuses in the use of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and market analysis of blockchain-based cryptocurrencies. As such, this book provides researchers and practitioners alike with valuable insights into big data analysis of blockchain data, AI-enabled blockchain systems, and applications driven by blockchain intelligence.
Author : Mirosław Kutyłowski,Jun Zhang,Chao Chen
Publisher : Springer Nature
Page : 458 pages
File Size : 42,8 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9783030657451
This book constitutes the refereed proceedings of the 14th International Conference on Network and System Security, NSS 2020, held in Melbourne, VIC, Australia, in November 2020. The 17 full and 9 short papers were carefully reviewed and selected from 60 submissions. The selected papers are devoted to topics such as secure operating system architectures, applications programming and security testing, intrusion and attack detection, cybersecurity intelligence, access control, cryptographic techniques, cryptocurrencies, ransomware, anonymity, trust, recommendation systems, as well machine learning problems. Due to the Corona pandemic the event was held virtually.
Author : Panos Pardalos,Ilias Kotsireas,William J. Knottenbelt,Stefanos Leonardos
Publisher : Springer Nature
Page : 193 pages
File Size : 50,8 Mb
Release : 2024-01-15
Category : Business & Economics
ISBN : 9783031487316
This book presents the best papers from the 4th International Conference on Mathematical Research for Blockchain Economy (MARBLE) 2023, held in London, UK. While most blockchain conferences and forums are dedicated to business applications, product development, or Initial Coin Offering (ICO) launches, this conference focused on the mathematics behind blockchain to bridge the gap between practice and theory. The book spans the divide between theoretical promise and practical reality in blockchain technology and explores the challenges hindering its real-world integration across diverse sectors, offering comprehensive insights into issues like scalability, security, and privacy.
Author : Jiachi Chen,Bin Wen,Ting Chen
Publisher : Springer Nature
Page : 308 pages
File Size : 53,5 Mb
Release : 2023-11-24
Category : Computers
ISBN : 9789819981014
The two-volume set CCIS 1896 and 1897 constitutes the refereed post-conference proceedings of the 5th International Conference on Blockchain and Trustworthy Systems, BlockSys 2023, which took place in Haikou, China during August 8–10, 2023. The 45 revised full papers presented in these proceedings were carefully reviewed and selected from 93 submissions. The papers are organized in the following topical sections: Part I: Anomaly detection on blockchain; edge intelligence and metaverse services; blockchain system security; empirical study and surveys; federated learning for blockchain. Part II: AI for blockchain; blockchain applications; blockchain architecture and optimization; protocols and consensus.
Author : Rosa M. Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis Mateus Rocha,Marta Sales-Pardo
Publisher : Springer Nature
Page : 729 pages
File Size : 48,7 Mb
Release : 2021-01-04
Category : Technology & Engineering
ISBN : 9783030653514
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.
Author : Fabian Schar,Aleksander Berentsen
Publisher : MIT Press
Page : 289 pages
File Size : 42,8 Mb
Release : 2020-09-01
Category : Business & Economics
ISBN : 9780262362900
An introduction to cryptocurrencies and blockchain technology; a guide for practitioners and students. Bitcoin and blockchain enable the ownership of virtual property without the need for a central authority. Additionally, Bitcoin and other cryptocurrencies make up an entirely new class of assets that have the potential for fundamental change in the current financial system. This book offers an introduction to cryptocurrencies and blockchain technology from the perspective of monetary economics.
Author : Qi Xuan,Zhongyuan Ruan,Yong Min
Publisher : Springer Nature
Page : 256 pages
File Size : 47,8 Mb
Release : 2021-07-15
Category : Computers
ISBN : 9789811626098
Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic – the security of graph data mining – and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.
Author : Alfredo J. Morales,Carlos Gershenson,Dan Braha,Ali A. Minai,Yaneer Bar-Yam
Publisher : Springer
Page : 529 pages
File Size : 46,7 Mb
Release : 2018-07-23
Category : Science
ISBN : 9783319966618
Unifying Themes in Complex Systems is a well-established series of carefully edited conference proceedings that serve to document and archive the progress made regarding cross-fertilization in this field. The International Conference on Complex Systems (ICCS) creates a unique atmosphere for scientists from all fields, engineers, physicians, executives, and a host of other professionals, allowing them to explore common themes and applications of complex systems science. With this new volume, Unifying Themes in Complex Systems continues to establish common ground between the wide-ranging domains of complex systems science.
Author : Azevedo, Ana,Santos, Manuel Filipe
Publisher : IGI Global
Page : 250 pages
File Size : 55,9 Mb
Release : 2020-12-11
Category : Computers
ISBN : 9781799857839
As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.
Author : Kamal Karlapalem,Hong Cheng,Naren Ramakrishnan,R. K. Agrawal,P. Krishna Reddy,Jaideep Srivastava,Tanmoy Chakraborty
Publisher : Springer Nature
Page : 865 pages
File Size : 54,8 Mb
Release : 2021-05-08
Category : Computers
ISBN : 9783030757625
The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.
Author : Nibras Abdullah,Selvakumar Manickam,Mohammed Anbar
Publisher : Springer Nature
Page : 611 pages
File Size : 49,5 Mb
Release : 2021-12-02
Category : Computers
ISBN : 9789811680595
This book presents refereed proceedings of the Third International Conference on Advances in Cyber Security, ACeS 2021, held in Penang, Malaysia, in August 2021. The 36 full papers were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections: Internet of Things, Industry 4.0 and Blockchain, and Cryptology; Digital Forensics and Surveillance, Botnet and Malware, DDoS, and Intrusion Detection/Prevention; Ambient Cloud and Edge Computing, SDN, Wireless and Cellular Communication; Governance, Social Media, Mobile and Web, Data Privacy, Data Policy and Fake News.