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A survey on blockchain consensus mechanism: research overview, current advances and future directions

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International Journal of Intelligent Computing and Cybernetics 2023年第2期16卷 314-340页

作者： Mingyue Xie Jun Liu Shuyu Chen Mingwei Lin The School of Software Engineering Chongqing University of Posts and TelecommunicationsChongqingChina Chongqing University ChongqingChina Fujian Normal University FuzhouChina

Purpose-As the core technology of blockchain,various consensus mechanisms have emerged to satisfy the demands of different application scenarios.Since determining the security,scalability and other related performance of the blockchain,how to reach consensus efficiently of consensus mechanism is a critical issue in the blockchain.Design/methodology/approach-The paper opted for a research overview on the blockchain consensus mechanism,including the consensus mechanisms’consensus progress,classification and comparison,which are complemented by documentary analysis.Findings-This survey analyzes solutions for the improvement of consensus mechanisms in blockchain that have been proposed during the last few years and suggests future research directions around consensus mechanisms.First,the authors outline the consensus processes,the advantages and disadvantages of the mainstream consensus mechanisms.Additionally,the consensus mechanisms are subdivided into four types according to their characteristics.Then,the consensus mechanisms are compared and analyzed based on four evaluation criteria.Finally,the authors summarize the representative progress of consensus mechanisms and provide some suggestions on the design of consensus mechanisms to make further advances in this field.Originality/value-This paper summarizes the future research development of the consensus mechanisms.

关键词： Blockchain consensus mechanism Byzantine fault-tolerant Consistency

A Dynamic Reputation–based consensus mechanism for Blockchain

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Computers, Materials & Continua 2022年第11期73卷 2577-2589页

作者： Xiaofang Qiu Zhi Qin Wunan Wan Jinquan Zhang Jinliang Guo Shibin Zhang Jinyue Xia School of Cybersecurity Chengdu University of Information TechnologyChengdu610225China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610225China International Business Machines Corporation(IBM) NewYork10041NY212USA

In recent years,Blockchain is gaining prominence as a hot topic in academic research.However,the consensus mechanism of blockchain has been criticized in terms of energy consumption and performance.Although Proof-of-Authority(PoA)consensus mechanism,as a lightweight consensus mechanism,is more efficient than traditional Proof-of-Work(PoW)and Proof-of-Stake(PoS),it suffers from the problem of centralization.To this end,on account of analyzing the shortcomings of existing consensus mechanisms,this paper proposes a dynamic reputation-based consensus mechanism for blockchain.This scheme allows nodes with reputation value higher than a threshold apply to become a monitoring node,which can monitor the behavior of validators in case that validators with excessive power cause harm to the blockchain network.At the same time,the reputation evaluation algorithm is also introduced to select nodes with high reputation to become validators in the network,thus increasing the cost of malicious behavior.In each consensus cycle,validators and monitoring nodes are dynamically updated according to the reputation value.Through security analysis,it is demonstrated that the scheme can resist the attacks of malicious nodes in the blockchain network.By simulation experiments and analysis of the scheme,the result verifies that the mechanism can effectively improve the fault tolerance of the consensus mechanism,reduce the time of consensus to guarantee the security of the system.

关键词： Blockchain consensus mechanism proof-of-authority reputation evaluation

E-voting system using cloud-based hybrid blockchain technology

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Journal of Safety Science and Resilience 2024年第1期5卷 102-109页

作者： Beulah Jayakumari S Lilly Sheeba Maya Eapen Jani Anbarasi Vinayakumar Ravi A.Suganya Malathy Jawahar Department of Information Technology Tagore Engineering College Chennai India School of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram ChennaiIndia Department of Information Technology Jerusalem College of Engineering ChennaiIndia School of Computer Science and Engineering Vellore Institute of Technology Chennai India Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia Leather Process Technology Division CSIR-Central Leather Research Institute ChennaiIndia

With the invention of Internet-enabled devices,cloud and blockchain-based technologies,an online voting system can smoothly carry out election processes.During pandemic situations,citizens tend to develop panic about mass gatherings,which may influence the decrease in the number of votes.This urges a reliable,flexible,transparent,secure,and cost-effective voting system.The proposed online voting system using cloud-based hybrid blockchain technology eradicates the flaws that persist in the existing voting system,and it is carried out in three phases:the registration phase,vote casting phase and vote counting phase.A timestamp-based authentication protocol with digital signature validates voters and candidates during the registration and vote casting phases.Using smart contracts,third-party interventions are eliminated,and the transactions are secured in the blockchain network.Finally,to provide accurate voting results,the practical Byzantine fault tolerance(PBFT)consensus mechanism is adopted to ensure that the vote has not been modified or corrupted.Hence,the overall performance of the proposed system is significantly better than that of the existing system.Further performance was analyzed based on authentication delay,vote alteration,response time,and latency.

关键词： E-voting Cloud Blockchain Smart contract consensus mechanism

For Mega-Constellations: Edge Computing and Safety Management Based on Blockchain Technology

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China Communications 2024年第2期21卷 59-73页

作者： Zhen Zhang Bing Guo Chengjie Li College of Computer Science Sichuan UniversityChengdu 610064China The Key Laboratory for Computer Systems of State Ethnic Affairs Commission School of Computer Science and TechnologySouthwest Minzu UniversityChengdu 610225China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengdu 611731China

In mega-constellation Communication Systems, efficient routing algorithms and data transmission technologies are employed to ensure fast and reliable data transfer. However, the limited computational resources of satellites necessitate the use of edge computing to enhance secure communication.While edge computing reduces the burden on cloud computing, it introduces security and reliability challenges in open satellite communication channels. To address these challenges, we propose a blockchain architecture specifically designed for edge computing in mega-constellation communication systems. This architecture narrows down the consensus scope of the blockchain to meet the requirements of edge computing while ensuring comprehensive log storage across the network. Additionally, we introduce a reputation management mechanism for nodes within the blockchain, evaluating their trustworthiness, workload, and efficiency. Nodes with higher reputation scores are selected to participate in tasks and are appropriately incentivized. Simulation results demonstrate that our approach achieves a task result reliability of 95% while improving computational speed.

关键词： blockchain consensus mechanism edge computing mega-constellation reputation management

A Secure Microgrid Data Storage Strategy with Directed Acyclic Graph consensus mechanism

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Intelligent Automation & Soft Computing 2023年第9期37卷 2609-2626页

作者： Jian Shang Runmin Guan Wei Wang College of Computer and Information Hohai UniversityNanjing211100China Division of Research and Innovation Jiayuan Technology Co.Ltd.Nanjing211100China

The wide application of intelligent terminals in microgrids has fueled the surge of data amount in recent years.In real-world scenarios,microgrids must store large amounts of data efficiently while also being able to withstand malicious cyberattacks.To meet the high hardware resource requirements,address the vulnerability to network attacks and poor reliability in the tradi-tional centralized data storage schemes,this paper proposes a secure storage management method for microgrid data that considers node trust and directed acyclic graph(DAG)consensus mechanism.Firstly,the microgrid data storage model is designed based on the edge computing technology.The blockchain,deployed on the edge computing server and combined with cloud storage,ensures reliable data storage in the microgrid.Secondly,a blockchain consen-sus algorithm based on directed acyclic graph data structure is then proposed to effectively improve the data storage timeliness and avoid disadvantages in traditional blockchain topology such as long chain construction time and low consensus efficiency.Finally,considering the tolerance differences among the candidate chain-building nodes to network attacks,a hash value update mechanism of blockchain header with node trust identification to ensure data storage security is proposed.Experimental results from the microgrid data storage platform show that the proposed method can achieve a private key update time of less than 5 milliseconds.When the number of blockchain nodes is less than 25,the blockchain construction takes no more than 80 mins,and the data throughput is close to 300 kbps.Compared with the traditional chain-topology-based consensus methods that do not consider node trust,the proposed method has higher efficiency in data storage and better resistance to network attacks.

关键词： Microgrid data security storage node trust degree directed acyclic graph data structure consensus mechanism secure multi-party computing blockchain

PoQ-consensus Based Private Electricity Consumption Forecasting via Federated Learning

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 3285-3297页

作者： Yiqun Zhu Shuxian Sun Chunyu Liu Xinyi Tian Jingyi He Shuai Xiao Marketing Service Center State Grid Tianjin Electric Power CompanyTianjin300120China School of Electrical and Information Engineering Tianjin UniversityTianjin300072China

With the rapid development of artificial intelligence and computer technology,grid corporations have also begun to move towards comprehensive intelligence and informatization.However,data-based informatization can bring about the risk of privacy exposure of fine-grained information such as electricity consumption data.The modeling of electricity consumption data can help grid corporations to have a more thorough understanding of users’needs and their habits,providing better services for users.Nevertheless,users’electricity consumption data is sensitive and private.In order to achieve highly efficient analysis of massive private electricity consumption data without direct access,a blockchain-based federated learning method is proposed for users’electricity consumption forecasting in this paper.Specifically,a blockchain systemis established based on a proof of quality(PoQ)consensus mechanism,and a multilayer hybrid directional long short-term memory(MHD-LSTM)network model is trained for users’electricity consumption forecasting via the federal learning method.In this way,the model of the MHD-LSTM network is able to avoid suffering from severe security problems and can only share the network parameters without exchanging raw electricity consumption data,which is decentralized,secure and reliable.The experimental result shows that the proposed method has both effectiveness and high-accuracy under the premise of electricity consumption data’s privacy preservation,and can achieve better performance when compared to traditional long short-term memory(LSTM)and bidirectional LSTM(BLSTM).

关键词： Blockchain consensus mechanism federated learning electricity consumption forecasting privacy preservation

ULS-PBFT:An ultra-low storage overhead PBFT consensus for blockchain

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Blockchain(Research and Applications) 2023年第4期4卷 50-62页

作者： Haoxiang Luo Key Laboratory of Optical Fiber Sensing and Communications(Ministry of Education) University of Electronic Science and Technology of ChinaChengduChina

Since the Practical Byzantine Fault Tolerance(PBFT)consensus mechanism can avoid the performance bottleneck of blockchain systems caused by Proof of Work(PoW),it has been widely used in many scenarios.However,in the blockchain system,each node is required to back up all transactions and block data of the system,which will waste a lot of storage resources.It is difficult to apply to scenarios with limited storage resources such as unmanned aerial vehicle networks and smart security protection;thus,it is often used in small-scale networks.In order to deploy PBFT-based blockchain systems in large-scale network scenarios,we propose an ultra-low storage overhead PBFT consensus(ULS-PBFT),which groups nodes hierarchically to limit the storage overhead within the group.In this paper,we first propose an optimal double-layer PBFT consensus from the perspective of minimizing the storage overhead,and prove that this consensus can significantly reduce the storage overhead.In addition,we also investigate the superiority of ULS-PBFT in terms of communication overhead while setting the security threshold in the presence of the possibility of Byzantine nodes.The simulation results demonstrate the advantages of ULS-PBFT.Then,we extend such grouping idea to the blockchain system with X-layer PBFT and analyze its storage and communication overhead.Finally,the node grouping strategy of double-layer PBFT is studied for four application scenarios when the performance of storage overhead,communication overhead,and security are considered comprehensively.

关键词： Blockchain consensus mechanism PBFT Storage overhead Hierarchical grouping

Proximal Policy Optimization-Based Committee Selection Algorithm in Blockchain-Enabled Mobile Edge Computing Systems

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China Communications 2022年第6期19卷 50-65页

作者： Wenjun Wu Dehao Sun Kaiqi Jin Yang Sun Pengbo Si Faculty of Information Technology Beijing University of TechnologyBeijing 100124China

To cope with the low latency requirements and security issues of the emerging applications such as Internet of Vehicles(Io V)and Industrial Internet of Things(IIo T),the blockchain-enabled Mobile Edge Computing(MEC)system has received extensive attention.However,blockchain is a computing and communication intensive technology due to the complex consensus mechanisms.To facilitate the implementation of blockchain in the MEC system,this paper adopts the committee-based Practical Byzantine Fault Tolerance(PBFT)consensus algorithm and focuses on the committee selection problem.Vehicles and IIo T devices generate the transactions which are records of the application tasks.Base Stations(BSs)with MEC servers,which serve the transactions according to the wireless channel quality and the available computing resources,are blockchain nodes and candidates for committee members.The income of transaction service fees,the penalty of service delay,the decentralization of the blockchain and the communication complexity of the consensus process constitute the performance index.The committee selection problem is modeled as a Markov decision process,and the Proximal Policy Optimization(PPO)algorithm is adopted in the solution.Simulation results show that the proposed PPO-based committee selection algorithm can adapt to the system design requirements with different emphases and outperforms other comparison methods.

关键词： blockchain mobile edge computing deep reinforcement learning consensus mechanism

Design of improved PBFT algorithm based on aggregate signature and node reputation

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Intelligent and Converged Networks 2023年第2期4卷 158-167页

作者： Jinhua Fu Wenhui Zhou Jie Xu College of Software Engineering Zhengzhou University of Light IndustryZhengzhou 450002China

The alliance chain system is a distributed ledger system based on blockchain technology,which can realize data sharing and collaboration among multiple parties while ensuring data security and reliability.The Practical Byzantine Fault Tolerance(PBFT)consensus algorithm is the most popular consensus protocol in the alliance chain,but the algorithm has problems such as high complexity and too simple election of the master node,which will make PBFT unable to be applied in scenarios with too many nodes.At the same time,there are certain security issues.In order to solve these problems,this paper proposes an improved Byzantine consensus algorithm,Polymerization Signature and Reputation Value PBFT(P-V PBFT).Firstly,the consistency protocol process is improved based on the aggregate signature technology.The simulation results show that the P-V PBFT algorithm can effectively reduce the overhead of network transmission,and the time complexity of the algorithm decreases exponentially,which improves the efficiency of the consensus process.Secondly,the node reputation election mechanism is introduced to elect the primary node,and the security analysis is carried out to verify the fairness and security of the primary node election of the P-V PBFT algorithm.Therefore,as a feasible improvement of the blockchain consensus protocol,the P-V PBFT algorithm can provide more efficient and secure guarantee for the blockchain system in practical application.

关键词： blockchain Practical Byzantine Fault Tolerance(PBFT) consensus mechanism aggregate signature cryptography