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IEEE International Conference on Big Data Analysis (ICBDA)

作者： Junlong Liang Xiangzhi Liu Xiaoming Wu Ran Chen Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology ( Shandong Academy of Sciences) Jinan China

This article focuses on the application of blockchain consensus algorithms in the power energy trading system and the comparison of these algorithms such as PBFT(Practical Byzantine Fault Tolerance), Raft and IBFT(Istanbul Byzantine Fault Tolerance). The article introduces the concept of blockchain consensus algorithms and its application in power energy trading system. It then provides a brief overview of the three algorithms and their underlying structures. The comparison of the algorithms is done in terms of features such as scalability, reliability and security. The article also provides an overview of the advantages and disadvantages of each algorithm and its application in power energy trading system. We examine the blockchain partition algorithm improved by the integration of Raft consensus and IBFT consensus, with a special focus on the advantages of using a hybrid algorithm in distributed networks. We discuss the need for consensus algorithms that are well-suited to blockchain networks and the improved security provided by a consensus algorithm incorporating both Raft and *** also discuss the implications of incorporating Raft and IBFT into a blockchain partition algorithm and its potential scalability. In conclusion, we provide a synthesis of our research, with potentials for further studies and contributions in this field.

关键词： Fault tolerance Scalability Fault tolerant systems consensus algorithm Big Data Throughput Hybrid power systems

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A Modified Blockchain DPoS consensus algorithm Based on Anomaly Detection and Reward-Punishment 13

A Modified Blockchain DPoS Consensus Algorithm Based on Anom...

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13th IEEE International Conference on Communication Software and Networks (ICCSN)

作者： Wei, Yaxing Liang, Liang Zhou, Bo Feng, Xinsong Chongqing Univ Sch Microelect & Commun Engn Chongqing Peoples R China

ISBN: (纸本)9781665431828

The blockchain consensus algorithm can be leveraged to enhance IoT security and promote the efficiency of collaboration among IoT nodes. Delegated Proof of Stake (DPoS) can simultaneously meet the low-cost and high-efficiency requirements and improve the service quality of node collaboration. However, the malicious attacks, selfishness and insufficient enthusiasm of collaborative nodes can affect DPoS consensus process. In view of these challenges, we modify DPoS consensus algorithm, and design a self-selecting abnormal data detection algorithm to identify abnormal data from malicious attacks and selfishness behavior of nodes. Meanwhile, a game theory-based reward and punishment incentive mechanism is proposed to improve the voting enthusiasm of nodes. Simulation results show that the proposed mechanism can effectively reduce the effect of malicious attacks and nodes selfishness in DPoS consensus process.

关键词： blockchain consensus algorithm game theory internet of things

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A hybrid consensus algorithm for master-slave blockchain in a multidomain conversation system

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EXPERT SYSTEMS WITH APPLICATIONS 2022年第0期204卷

作者： Yang, Wenli Garg, Saurabh Huang, Zhiqiang Kang, Byeong Univ Tasmania Sch ICT Hobart Tas Australia

Conversation systems play an important role in the research and development of multidomain systems, in which the number of conversations increases rapidly with the number of domains. Multiple experts must maintain these conversation interactions, otherwise experts from different domains are unable to interact properly. For this reason, ensuring secure and efficient cooperation between different experts has become a serious issue that needs to be resolved. This study proposes a hybrid consensus algorithm for a master-slave chain to improve the efficiency and scalability of multidomain conversation interactions. Firstly, we build a master-slave chain model for a multidomain conversation system which can be applied to process multiple conversation interactions from different domains concurrently. Subsequently, a new hybrid consensus algorithm is proposed which combines reputation-driven voting, dynamic construction strategies and an incentive scheme with both economic and noneconomic rewards. Implemented and tested on a local private blockchain network, the experimental results demonstrate the feasibility and effectiveness of the proposed approach, in order to offer a decentralised, scalable, multidomain conversation system in a secure manner.

关键词： consensus algorithm Master-slave Blockchain Multidomain Conversation system

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DT-PBFT: A Double-Layer Group consensus algorithm of Credibility for IoT Blockchain

DT-PBFT: A Double-Layer Group Consensus Algorithm of Credibi...

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Big Data, Information and Computer Network (BDICN), International Conference on

作者： Yaxin Chen Yongpu Jia State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

Blockchain technology is becoming more and more popular, but performance problems have always troubled it, especially the scale of distributed networks is limited. Like Practical Byzantine consensus algorithm (PBFT), the main bottlenecks are concentrated in the scope of consensus too small, and the communication is too high. In order to implement PBFT in large-scale systems such as large-scale IoT ecosystems and blockchains, this paper proposes a reputation-based two-layer improved PBFT consensus computing model DT-PBFT. In order to better combine with the large -scale Internet of Things ecosystem, we give each node regional location, communication capacity, computing power and other related attributes to each involvement, so that Client nodes can input node attributes as parameters into the reputation calculation algorithm, to select the master node of each layer in the double-layer consensus model. Determining the master node through reputation improves the credibility of the consensus algorithm. At the same time, the DTPBFT cancels the Pre-Prepare stage, reducing communication complexity. Finally, this paper transforms the existing PBFT algorithm on the Fabric platform to implement the DT-PBFT consensus algorithm and compares its performance with traditional PBFT, proving that DT-PBFT has the best balance and excellent comprehensive performance in large-scale IoT application scenarios.

关键词： Scalability Computational modeling Ecosystems consensus algorithm Transforms Stability analysis Blockchains

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On Linear Convergence of PI consensus algorithm under the Restricted Secant Inequality

arXiv

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arXiv 2023年

作者： Chakrabarti, Kushal Baranwal, Mayank Division of Data & Decision Sciences Tata Consultancy Services Research Mumbai400607 India Faculty of Systems & Control Engineering Indian Institute of Technology India

This paper considers solving distributed optimization problems in peer-to-peer multi-agent networks. The network is synchronous and connected. By using the proportional-integral (PI) control strategy, various algorithms with fixed stepsize have been developed. Two notable among them are the PI algorithm and the PI consensus algorithm. Although the PI algorithm has provable linear or exponential convergence without the standard requirement of (strong) convexity, a similar guarantee for the PI consensus algorithm is unavailable. In this paper, using Lyapunov theory, we guarantee exponential convergence of the PI consensus algorithm for global cost functions that satisfy the restricted secant inequality, with rate-matching discretization, without requiring convexity. To accelerate the PI consensus algorithm, we incorporate local preconditioning in the form of constant positive definite matrices and numerically validate its efficiency compared to the prominent distributed convex optimization algorithms. Unlike classical pre-conditioning, where only the gradients are multiplied by a pre-conditioner, the proposed pre-conditioning modifies both the gradients and the consensus terms, thereby controlling the effect of the communication graph on the algorithm. Copyright © 2023, The Authors. All rights reserved.

关键词： consensus algorithm

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An Efficient consensus algorithm for Blockchain-Based Federated Learning

An Efficient Consensus Algorithm for Blockchain-Based Federa...

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International Symposium on Advanced Computing and Communication (ISACC)

作者： Kausthav Pratim Kalita Debojit Boro Dhruba Kumar Bhattacharyya Computer Science & Engineering Assam Don Bosco University Guwahati India Computer Science & Engineering Tezpur University Tezpur India

Machine learning techniques have proved to be an inevitable tool for data analysis and prediction in various domains. Federated learning has enhanced it by allowing localized training of datasets where the owners need not share their data. The participating parties only need to share their locally trained model weights and biases to accomplish a federated learning task. This sharing mechanism can become significantly secure and tamper-proof on a blockchain network. In this paper, we have proposed a consensus algorithm to ensure efficient and economical utilization of blockchain to perform federated learning activities. The proposed model is tested in a simulated test bed to present a practical implementation of our algorithm and to reflect upon its efficiency.

关键词： Training Federated learning Computational modeling consensus algorithm Organizations Data models Blockchains

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Research on application analysis of production-education integration path based on consensus algorithm 22

Research on application analysis of production-education int...

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Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science

作者： Fashuang Huang Yuan Fu Wuhan Business University China

ISBN: (纸本)9781450397827

Consistency means that in a multi-structure agent network, each agent interacts and interacts with certain information according to certain control rules, and finally all agents in the network reach agreement on certain key information or states. In this paper, by analyzing the information network and weight of each subject unit under the mode of integration of industry and education, and researching and analyzing common distributed structures and mathematical models, on this basis, a path of industry-university integration based on consensus algorithm is established, and given The corresponding evaluation indicators are given, and a new way of thinking is provided for the research of relevant personnel.

关键词： consensus algorithm

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Finite-time consensus algorithm for Power Systems using Cucker-Smale Model

Finite-time Consensus Algorithm for Power Systems using Cuck...

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Renewable Energy and Hydrogen Technologies (GlobConHT), IEEE IAS Global Conference on

作者： Muhammad Majid Gulzar Muhammad Munaward Fahad Alismail Muhammad Khalid Control & Instrumentation Engineering Department Center for Renewable Energy and Power Systems Department of Electrical Engineering University of Central Punjab Lahore Pakistan Electrical Engineering Department Center for Renewable Energy and Power Systems SDAIA-KFUPM Joint Research Center for Artificial Intelligence King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

consensus is one of the most actively studied topics within the realm of multi-agent systems. It generally aims to drive flocks to achieve a common group objective. In this study, a Cucker-Smale model for consensus algorithm has been implemented to resolve the issue of flocking for power systems. By using this model, consensus can be achieved by randomly chosing the initial positions and velocities of the birds with a minimum number of iterations. Moreover, at the end the simulation results for 7 and 25 birds have been presented to confirm the convergence of the agent's average velocities and directions.

关键词： Renewable energy sources Simulation Hydrogen consensus algorithm Birds Mathematical models Power systems

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Byzantine Fault Tolerant consensus algorithm Based on Credit Model and Verifiable Random Function 22

Byzantine Fault Tolerant Consensus Algorithm Based on Credit...

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Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering

作者： Xiaofan Yu Yanru Zhong Zhaoyi Zhang Guilin University Of Electronic Technology China Guilin University of Electronic Technology China

ISBN: (纸本)9781450397148

Blockchain technology has the advantages of decentralization, data tampering and data transparency, so that the application field of this technology continues to expand. However, the current consensus algorithm applied in blockchain system has some problems, such as arbitrary selection of master nodes, high communication complexity and low consensus efficiency. An enhanced consensus algorithm (BV-PBFT) is suggested in this study. The consensus protocol is simplified, the communication complexity of the algorithm is reduced, and the effectiveness of consensus is improved. First, the credit value of nodes is calculated by the credit model, and according to the credit value of nodes, the nodes in the network are divided into three types of nodes with different responsibilities. Secondly, the random and verifiable characteristics of verifiable random function (VRF) are used to construct an anonymous master selection algorithm to improve the selection of master nodes. According to experimental findings, the suggested consensus algorithm, when compared to the PBFT method, minimizes the time complexity from to , significantly lowers communication overhead and consensus delay in the network, and increases consensus efficiency and throughput.

关键词： credit model Verifiable Random Function (VRF) Practical Byzantine Fault Tolerance (PBFT) consensus algorithm blockchain

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Teegraph: A Blockchain consensus algorithm based on TEE and DAG for data sharing in IoT

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JOURNAL OF SYSTEMS ARCHITECTURE 2022年 122卷

作者： Fu Xiang Wang Huaimin Shi Peichang Zhang Xunhui Natl Univ Def Technol Coll Comp Changsha 410073 Peoples R China Key Lab Software Engn Complex Syst Changsha 410073 Peoples R China

Blockchain offers new ways to the data sharing-based collaboration among IoT devices when a centralized IT infrastructure is unavailable. As one of the critical elements in a Blockchain system, the existing consensus algorithms still have some weaknesses, such as energy-wasting, low throughput, high latency, and increased network communication requirements. In this paper, we focus on designing a highly efficient Blockchain consensus algorithm for data sharing among IoT devices. We present the detailed design of Teegraph, which is a Trusted Execution Environment (TEE) and Directed Acyclic Graph (DAG)-based consensus algorithm. A proof-of-concept implementation of Teegraph is presented. The simulation results demonstrate that TEE usage in Teegraph is more efficient than that of the existing state of the art TEE-based consensus algorithms such as MinBFT and MinZyzzyva. Moreover, Teegraph outperforms Hashgraph, one of the most popular DAG-based consensus algorithms in throughput and latency.

关键词： Blockchain consensus algorithm IoT Data sharing TEE DAG

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