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Статті в журналах з теми "Distributed consensus mechanisms"
Peng, Jiawei, Yijun Wu, and Kunfeng Yuan. "A research on the consensus mechanisms." Applied and Computational Engineering 16, no. 1 (October 23, 2023): 127–37. http://dx.doi.org/10.54254/2755-2721/16/20230853.
Повний текст джерелаNirvikar 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 (December 31, 2023): 706–16. http://dx.doi.org/10.17762/ijritcc.v11i11.10075.
Повний текст джерелаZhao, Mingrui, Chunjing Shi, and 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 (December 15, 2023): 1–30. http://dx.doi.org/10.4018/ijswis.334704.
Повний текст джерелаTang, H., F. R. Yu, M. Huang, and 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.
Повний текст джерелаCoelho, Igor M., Vitor N. Coelho, Rodolfo P. Araujo, Wang Yong Qiang, and Brett D. Rhodes. "Challenges of PBFT-Inspired Consensus for Blockchain and Enhancements over Neo dBFT." Future Internet 12, no. 8 (July 30, 2020): 129. http://dx.doi.org/10.3390/fi12080129.
Повний текст джерелаLi, Zhihu, Bing Zhao, Hongxia Guo, Feng Zhai, and Lin Li. "A Privacy-Preserving Consensus Mechanism for ADMM-Based Peer-to-Peer Energy Trading." Symmetry 15, no. 8 (August 10, 2023): 1561. http://dx.doi.org/10.3390/sym15081561.
Повний текст джерелаYi, Pan. "A Novel Trade Transaction Agreement Algorithm Using Blockchain Consensus Mechanism." Scientific Programming 2021 (October 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/5343337.
Повний текст джерелаAluko, Oladotun, and Anton Kolonin. "Proof-of-Reputation: An Alternative Consensus Mechanism for Blockchain Systems." International Journal of Network Security & Its Applications 13, no. 04 (July 31, 2021): 23–40. http://dx.doi.org/10.5121/ijnsa.2021.13403.
Повний текст джерелаXu, Ronghua, Deeraj Nagothu, and Yu Chen. "EconLedger: A Proof-of-ENF Consensus Based Lightweight Distributed Ledger for IoVT Networks." Future Internet 13, no. 10 (September 24, 2021): 248. http://dx.doi.org/10.3390/fi13100248.
Повний текст джерелаPetrescu, M., and R. Petrescu. "Log Replication in Raft vs Kafka." Studia Universitatis Babeș-Bolyai Informatica 65, no. 2 (December 12, 2020): 66. http://dx.doi.org/10.24193/subbi.2020.2.05.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаThis 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.
Повний текст джерелаCataloged 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.
Повний текст джерелаDas, Kaushik. "Multi-Agent Positional Consensus Under Various Information Paradigms." Thesis, 2013. https://etd.iisc.ac.in/handle/2005/2604.
Повний текст джерелаDas, Kaushik. "Multi-Agent Positional Consensus Under Various Information Paradigms." Thesis, 2013. http://hdl.handle.net/2005/2604.
Повний текст джерелаЧастини книг з теми "Distributed consensus mechanisms"
Ren, Liuyang, and Paul A. S. Ward. "Distributed Consensus and Fault Tolerance Mechanisms." In Essentials of Blockchain Technology, 1–26. Boca Raton : CRC Press, [2020]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429674457-1.
Повний текст джерелаFan, Wenjun, Shubham Kumar, Sang-Yoon Chang, and Younghee Park. "A Blockchain-Based Retribution Mechanism for Collaborative Intrusion Detection." In Silicon Valley Cybersecurity Conference, 57–73. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-24049-2_4.
Повний текст джерелаWeng, Shengxuan, Dong Yue, and Chongxin Huang. "Distributed Economic Dispatch Based on Consensus Algorithm Under Event-Triggered Mechanism." In Communications in Computer and Information Science, 596–603. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6373-2_60.
Повний текст джерелаAdarsh, S., V. S. Anoop, and S. Asharaf. "Distributed Consensus Mechanism with Novelty Classification Using Proof of Immune Algorithm." In 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.
Повний текст джерелаKedziora, Michal, Patryk Kozlowski, and Piotr Jozwiak. "Security of Blockchain Distributed Ledger Consensus Mechanism in Context of the Sybil Attack." In 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.
Повний текст джерелаShvachych, Gennady, Ivan Pobochii, Hanna Sashchuk, Oleksandr Dzhus, Olena Khylko, and Volodymyr Busygin. "Development of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology." In Smart Innovation, Systems and Technologies, 1–13. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2541-2_1.
Повний текст джерелаShvachych, Gennady, Boris Moroz, Andrii Matviichuk, Hanna Sashchuk, Oleksandr Dzhus, and Volodymyr Busygin. "Development of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology." In 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.
Повний текст джерелаГончарова, Аліна В’ячеславівна. "Глава 8. Договори між спадкоємцями щодо розподілу спадщини". У Серія «Процесуальні науки», 321–57. Київ, Україна: Видавництво "Алерта", 2023. http://dx.doi.org/10.59835/978-617-566-765-1-3-8.
Повний текст джерелаBolfing, Andreas. "Distributed Systems." In Cryptographic Primitives in Blockchain Technology, 143–98. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862840.003.0005.
Повний текст джерелаJayapal, Cynthia, and Clement Sudhahar. "Distributed Technologies and Consensus Algorithms for Blockchain." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Distributed consensus mechanisms"
Ramesh Babu, P., Kamal Mohammad Jimalo, Manjunath Gadiparthi, and K. R. N. Kiran Kumar. "Distributed Consensus and Fault Tolerance Mechanisms Using Distributed Machine Learning." In 2023 International Conference on Disruptive Technologies (ICDT). IEEE, 2023. http://dx.doi.org/10.1109/icdt57929.2023.10151116.
Повний текст джерелаQian, Yangyang, Yijing Xie, Zongli Lin, Yan Wan, and Yacov A. Shamash. "Distributed Dynamic Event-Triggered Communication Mechanisms for Dynamic Average Consensus." In 2023 62nd IEEE Conference on Decision and Control (CDC). IEEE, 2023. http://dx.doi.org/10.1109/cdc49753.2023.10384293.
Повний текст джерелаKshirsagar, Avinash, and Vinod Pachghare. "Performance Evaluation of Proof of Scope Consensus Mechanisms on Hyperledger." In 2022 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS). IEEE, 2022. http://dx.doi.org/10.1109/icbds53701.2022.9935860.
Повний текст джерелаZhang, Tian. "Exploring Consensus Mechanisms in Distributed Systems Based on Directed Graph Method." In 2020 International Conference on Computer Information and Big Data Applications (CIBDA). IEEE, 2020. http://dx.doi.org/10.1109/cibda50819.2020.00118.
Повний текст джерелаAluko, Oladotun, and Anton Kolonin. "Studying the Applicability of Proof of Reputation(PoR) as an Alternative Consensus Mechanism for Distributed Ledger Systems." In 2nd International Conference on Blockchain and Internet of Things (BIoT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110804.
Повний текст джерелаBada, Abigael Okikijesu, Amalia Damianou, Constantinos Marios Angelopoulos, and Vasilios Katos. "Towards a Green Blockchain: A Review of Consensus Mechanisms and their Energy Consumption." In 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 2021. http://dx.doi.org/10.1109/dcoss52077.2021.00083.
Повний текст джерелаMacêdo, Raimundo José de Araújo. "Failure Detection in Asynchronous Distributed Systems." In Workshop de Testes e Tolerância a Falhas. Sociedade Brasileira de Computação - SBC, 2000. http://dx.doi.org/10.5753/wtf.2000.23478.
Повний текст джерелаVargas-Gomez, Renato, Juan Carlos Perez-Arriaga, Jorge Octavio Ocharan-Hernandez, and Angel J. Sanchez-Garcia. "Consensus Mechanisms in Distributed Ledgers for the Protection of Confidential Data: A Multivocal Literature Review." In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT). IEEE, 2020. http://dx.doi.org/10.1109/conisoft50191.2020.00032.
Повний текст джерелаBattisti, João, Maurício Pillon, Guilherme Koslovski, and Charles Miers. "Análise de Segurança dos Mecanismos de Consenso no PBFT usando Multichain e PoW usando Ethereum Aplicados em Redes Blockchain Privadas/Consórcio." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p118-125.
Повний текст джерелаRebello, M., R. M. Benito, J. C. Losada, and J. Galeano. "Robust Distributed Voting Mechanism by Consensus." In 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.
Повний текст джерела