Littérature scientifique sur le sujet « Distributed consensus mechanisms »
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Articles de revues sur le sujet "Distributed consensus mechanisms"
Peng, Jiawei, Yijun Wu et Kunfeng Yuan. « A research on the consensus mechanisms ». Applied and Computational Engineering 16, no 1 (23 octobre 2023) : 127–37. http://dx.doi.org/10.54254/2755-2721/16/20230853.
Texte intégralNirvikar Katiyar, Et al. « Decentralized Consensus Mechanisms in Blockchain : A Comparative Analysis ». International Journal on Recent and Innovation Trends in Computing and Communication 11, no 11 (31 décembre 2023) : 706–16. http://dx.doi.org/10.17762/ijritcc.v11i11.10075.
Texte intégralZhao, Mingrui, Chunjing Shi et Yixiao Yuan. « Blockchain-Based Lightweight Authentication Mechanisms for Industrial Internet of Things and Information Systems ». International Journal on Semantic Web and Information Systems 20, no 1 (15 décembre 2023) : 1–30. http://dx.doi.org/10.4018/ijswis.334704.
Texte intégralTang, H., F. R. Yu, M. Huang et Z. Li. « Distributed consensus-based security mechanisms in cognitive radio mobile ad hoc networks ». IET Communications 6, no 8 (2012) : 974. http://dx.doi.org/10.1049/iet-com.2010.0553.
Texte intégralCoelho, Igor M., Vitor N. Coelho, Rodolfo P. Araujo, Wang Yong Qiang et Brett D. Rhodes. « Challenges of PBFT-Inspired Consensus for Blockchain and Enhancements over Neo dBFT ». Future Internet 12, no 8 (30 juillet 2020) : 129. http://dx.doi.org/10.3390/fi12080129.
Texte intégralLi, Zhihu, Bing Zhao, Hongxia Guo, Feng Zhai et Lin Li. « A Privacy-Preserving Consensus Mechanism for ADMM-Based Peer-to-Peer Energy Trading ». Symmetry 15, no 8 (10 août 2023) : 1561. http://dx.doi.org/10.3390/sym15081561.
Texte intégralYi, Pan. « A Novel Trade Transaction Agreement Algorithm Using Blockchain Consensus Mechanism ». Scientific Programming 2021 (18 octobre 2021) : 1–9. http://dx.doi.org/10.1155/2021/5343337.
Texte intégralAluko, Oladotun, et Anton Kolonin. « Proof-of-Reputation : An Alternative Consensus Mechanism for Blockchain Systems ». International Journal of Network Security & ; Its Applications 13, no 04 (31 juillet 2021) : 23–40. http://dx.doi.org/10.5121/ijnsa.2021.13403.
Texte intégralXu, Ronghua, Deeraj Nagothu et Yu Chen. « EconLedger : A Proof-of-ENF Consensus Based Lightweight Distributed Ledger for IoVT Networks ». Future Internet 13, no 10 (24 septembre 2021) : 248. http://dx.doi.org/10.3390/fi13100248.
Texte intégralPetrescu, M., et R. Petrescu. « Log Replication in Raft vs Kafka ». Studia Universitatis Babeș-Bolyai Informatica 65, no 2 (12 décembre 2020) : 66. http://dx.doi.org/10.24193/subbi.2020.2.05.
Texte intégralThèses sur le sujet "Distributed consensus mechanisms"
Solat, Siamak. « Novel fault-tolerant, self-configurable, scalable, secure, decentralized, and high-performance distributed database replication architecture using innovative sharding to enable the use of BFT consensus mechanisms in very large-scale networks ». Electronic Thesis or Diss., Université Paris Cité, 2023. http://www.theses.fr/2023UNIP7025.
Texte intégralThis PhD thesis consists of 6 Chapters. In the first Chapter, as an introduction, we provide an overview of the general goals and motives of decentralized and permissionless networks, as well as the obstacles they face. In the introduction, we also refer to the irrational and illogical solution, known as "permissioned blockchain" that has been proposed to improve the performance of networks similar to Bitcoin. This matter has been detailed in Chapter 5. In Chapter 2, we make clear and intelligible the systems that the proposed idea, Parallel Committees, is based on such networks. We detail the indispensable features and essential challenges in replication systems. Then in Chapter 3, we discuss in detail the low performance and scalability limitations of replication systems that use consensus mechanisms to process transactions, and how these issues can be improved using the sharding technique. We describe the most important challenges in the sharding of distributed replication systems, an approach that has already been implemented in several blockchain-based replication systems and although it has shown remarkable potential to improve performance and scalability, yet current sharding techniques have several significant scalability and security issues. We explain why most current sharding protocols use a random assignment approach for allocating and distributing nodes between shards due to security reasons. We also detail how a transaction is processed in a sharded replication system, based on current sharding protocols. We describe how a shared-ledger across shards imposes additional scalability limitations and security issues on the network and explain why cross-shard or inter-shard transactions are undesirable and more costly, due to the problems they cause, including atomicity failure and state transition challenges, along with a review of proposed solutions. We also review some of the most considerable recent works that utilize sharding techniques for replication systems. This part of the work has been published as a peer-reviewed book chapter in "Building Cybersecurity Applications with Blockchain Technology and Smart Contracts" (Springer, 2023). In Chapter 4, we propose a novel sharding technique, Parallel Committees, supporting both processing and storage/state sharding, to improve the scalability and performance of distributed replication systems that use a consensus to process clients' requests. We introduce an innovative and novel approach of distributing nodes between shards, using a public key generation process that simultaneously mitigates Sybil attack and serves as a proof-of-work mechanism. Our approach effectively reduces undesirable cross-shard transactions that are more complex and costly to process than intra-shard transactions. The proposed idea has been published as peer-reviewed conference proceedings in the IEEE BCCA 2023. We then explain why we do not make use of a blockchain structure in the proposed idea, an issue that is discussed in great detail in Chapter 5. This clarification has been published in the Journal of Software (JSW), Volume 16, Number 3, May 2021. And, in the final Chapter of this thesis, Chapter 6, we summarize the important points and conclusions of this research
Jiang, Jennifer Hongbo. « How much does trust cost ? : analysis of the consensus mechanism of distributed ledger technology and use-cases in securitization ». Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111454.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (pages 47-49).
This paper analyzed how blockchain has achieved decentralized consensus, a remarkable innovation by: 1) validating transactions based on cryptograph technologies and implicit incentives; 2) extending blockchain networks based on a process of randomization. The success of emerging distributed ledger technology (DLT) reveals an intricate interplay of key factors among technology, economics, and rules. This paper discussed the broad spectrum of permissionless and permissioned DLTs and argued that the choice of DLT for each business case is a delicate balancing act for the needs of disintermediation, confidentiality, and scalability among other considerations. Smart contacts are the pre-agreed set of rules evaluated and executed by an automated system based on DLT. By digitalizing the physical business world, smart contracts combined with loT or big data analytics can help make powerful business cases, and we illustrated the potential use-cases in financial securitization industry. Looking forward, a decentralized consensus model empowered by DLT may lead to a new dimension of organizational changes and foster more collaborative partnership within and beyond the financial services industry.
by Jennifer Hongbo Jiang.
S.M. in Management of Technology
Dzurdzíková, Kristína. « Návrh využití technologie Blockchain ve firemním prostředí ». Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417644.
Texte intégralDas, Kaushik. « Multi-Agent Positional Consensus Under Various Information Paradigms ». Thesis, 2013. https://etd.iisc.ac.in/handle/2005/2604.
Texte intégralDas, Kaushik. « Multi-Agent Positional Consensus Under Various Information Paradigms ». Thesis, 2013. http://hdl.handle.net/2005/2604.
Texte intégralChapitres de livres sur le sujet "Distributed consensus mechanisms"
Ren, Liuyang, et Paul A. S. Ward. « Distributed Consensus and Fault Tolerance Mechanisms ». Dans Essentials of Blockchain Technology, 1–26. Boca Raton : CRC Press, [2020] : Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429674457-1.
Texte intégralFan, Wenjun, Shubham Kumar, Sang-Yoon Chang et Younghee Park. « A Blockchain-Based Retribution Mechanism for Collaborative Intrusion Detection ». Dans Silicon Valley Cybersecurity Conference, 57–73. Cham : Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-24049-2_4.
Texte intégralWeng, Shengxuan, Dong Yue et Chongxin Huang. « Distributed Economic Dispatch Based on Consensus Algorithm Under Event-Triggered Mechanism ». Dans Communications in Computer and Information Science, 596–603. Singapore : Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6373-2_60.
Texte intégralAdarsh, S., V. S. Anoop et S. Asharaf. « Distributed Consensus Mechanism with Novelty Classification Using Proof of Immune Algorithm ». Dans International Conference on Innovative Computing and Communications, 173–83. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2535-1_13.
Texte intégralKedziora, Michal, Patryk Kozlowski et Piotr Jozwiak. « Security of Blockchain Distributed Ledger Consensus Mechanism in Context of the Sybil Attack ». Dans Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 407–18. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55789-8_36.
Texte intégralShvachych, Gennady, Ivan Pobochii, Hanna Sashchuk, Oleksandr Dzhus, Olena Khylko et Volodymyr Busygin. « Development of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology ». Dans Smart Innovation, Systems and Technologies, 1–13. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2541-2_1.
Texte intégralShvachych, Gennady, Boris Moroz, Andrii Matviichuk, Hanna Sashchuk, Oleksandr Dzhus et Volodymyr Busygin. « Development of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology ». Dans Proceedings of International Conference on Data Science and Applications, 647–61. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6634-7_46.
Texte intégralГончарова, Аліна В’ячеславівна. « Глава 8. Договори між спадкоємцями щодо розподілу спадщини ». Dans Серія «Процесуальні науки», 321–57. Київ, Україна : Видавництво "Алерта", 2023. http://dx.doi.org/10.59835/978-617-566-765-1-3-8.
Texte intégralBolfing, Andreas. « Distributed Systems ». Dans Cryptographic Primitives in Blockchain Technology, 143–98. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862840.003.0005.
Texte intégralJayapal, Cynthia, et Clement Sudhahar. « Distributed Technologies and Consensus Algorithms for Blockchain ». Dans Advances in Systems Analysis, Software Engineering, and High Performance Computing, 100–122. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7524-9.ch006.
Texte intégralActes de conférences sur le sujet "Distributed consensus mechanisms"
Ramesh Babu, P., Kamal Mohammad Jimalo, Manjunath Gadiparthi et K. R. N. Kiran Kumar. « Distributed Consensus and Fault Tolerance Mechanisms Using Distributed Machine Learning ». Dans 2023 International Conference on Disruptive Technologies (ICDT). IEEE, 2023. http://dx.doi.org/10.1109/icdt57929.2023.10151116.
Texte intégralQian, Yangyang, Yijing Xie, Zongli Lin, Yan Wan et Yacov A. Shamash. « Distributed Dynamic Event-Triggered Communication Mechanisms for Dynamic Average Consensus ». Dans 2023 62nd IEEE Conference on Decision and Control (CDC). IEEE, 2023. http://dx.doi.org/10.1109/cdc49753.2023.10384293.
Texte intégralKshirsagar, Avinash, et Vinod Pachghare. « Performance Evaluation of Proof of Scope Consensus Mechanisms on Hyperledger ». Dans 2022 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS). IEEE, 2022. http://dx.doi.org/10.1109/icbds53701.2022.9935860.
Texte intégralZhang, Tian. « Exploring Consensus Mechanisms in Distributed Systems Based on Directed Graph Method ». Dans 2020 International Conference on Computer Information and Big Data Applications (CIBDA). IEEE, 2020. http://dx.doi.org/10.1109/cibda50819.2020.00118.
Texte intégralAluko, Oladotun, et Anton Kolonin. « Studying the Applicability of Proof of Reputation(PoR) as an Alternative Consensus Mechanism for Distributed Ledger Systems ». Dans 2nd International Conference on Blockchain and Internet of Things (BIoT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110804.
Texte intégralBada, Abigael Okikijesu, Amalia Damianou, Constantinos Marios Angelopoulos et Vasilios Katos. « Towards a Green Blockchain : A Review of Consensus Mechanisms and their Energy Consumption ». Dans 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 2021. http://dx.doi.org/10.1109/dcoss52077.2021.00083.
Texte intégralMacêdo, Raimundo José de Araújo. « Failure Detection in Asynchronous Distributed Systems ». Dans Workshop de Testes e Tolerância a Falhas. Sociedade Brasileira de Computação - SBC, 2000. http://dx.doi.org/10.5753/wtf.2000.23478.
Texte intégralVargas-Gomez, Renato, Juan Carlos Perez-Arriaga, Jorge Octavio Ocharan-Hernandez et Angel J. Sanchez-Garcia. « Consensus Mechanisms in Distributed Ledgers for the Protection of Confidential Data : A Multivocal Literature Review ». Dans 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT). IEEE, 2020. http://dx.doi.org/10.1109/conisoft50191.2020.00032.
Texte intégralBattisti, João, Maurício Pillon, Guilherme Koslovski et Charles Miers. « Análise de Segurança dos Mecanismos de Consenso no PBFT usando Multichain e PoW usando Ethereum Aplicados em Redes Blockchain Privadas/Consórcio ». Dans Computer on the Beach. Itajaí : Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p118-125.
Texte intégralRebello, M., R. M. Benito, J. C. Losada et J. Galeano. « Robust Distributed Voting Mechanism by Consensus ». Dans 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2018. http://dx.doi.org/10.1109/asonam.2018.8508703.
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