Improvement of the DPoS Consensus Mechanism in Blockchain Based on PLTS

Chen, Shuyu; Xie, Mingyue; Liu, Jun; Zhang, Yunan

doi:10.1109/bigdatasecurityhpscids52275.2021.00017

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…Educating token holders about the importance of voting and its impact on network governance can increase participation. Introducing mechanisms for delegate rotation or limiting their terms can prevent long-term centralization 41 . Through continuous research and protocol improvements, DPoS can balance efficiency and decentralization, offering a more inclusive consensus mechanism for blockchain networks by enhancing transparency and promoting active participation 42 .…”

Section: Delegated Proof Of Stake (Dpos)mentioning

confidence: 99%

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

Venkatesan,

Rahayu

2024

Sci Rep

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In this paper, we propose hybrid consensus algorithms that combine machine learning (ML) techniques to address the challenges and vulnerabilities in blockchain networks. Consensus Protocols make ensuring agreement among the applicants in the distributed systems difficult. However, existing mechanisms are more vulnerable to cyber-attacks. Previous studies extensively explore the influence of cyber attacks and highlight the necessity for effective preventive measures. This research presents the integration of ML techniques with the proposed hybrid consensus algorithms and advantages over predicting cyber-attacks, anomaly detection, and feature extraction. Our hybrid approaches leverage and optimize the proposed consensus protocols' security, trust, and robustness. However, this research also explores the various ML techniques with hybrid consensus algorithms, such as Delegated Proof of Stake Work (DPoSW), Proof of Stake and Work (PoSW), Proof of CASBFT (PoCASBFT), Delegated Byzantine Proof of Stake (DBPoS) for security enhancement and intelligent decision making in consensus protocols. Here, we also demonstrate the effectiveness of the proposed methodology within the decentralized networks using the ProximaX blockchain platform. This study shows that the proposed research framework is an energy-efficient mechanism that maintains security and adapts to dynamic conditions. It also integrates privacy-enhancing features, robust consensus mechanisms, and ML approaches to detect and prevent security threats. Furthermore, the practical implementation of these ML-based hybrid consensus models faces significant challenges, such as scalability, latency, throughput, resource requirements, and potential adversarial attacks. These challenges must be addressed to ensure the successful implementation of the blockchain network for real-world scenarios.

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Section: Delegated Proof Of Stake (Dpos)mentioning

confidence: 99%

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

Venkatesan,

Rahayu

2024

Sci Rep

View full text Add to dashboard Cite

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“…The voting tendency of nodes can also be considered by referring to the decision-making behaviors of human beings in real life. For example, vague set (Xu et al , 2020), Pythagorean fuzzy sets (PFSs) (Lin et al , 2021b) and probabilistic linguist term set (PLTS) (Liu et al , 2021b; Chen et al , 2021b; Xu et al , 2021a; Li et al , 2021b; Liang et al , 2020; Lin et al , 2018a, b, 2019a, b, 2020, 2021a) are introduced in the election of delegates in the DPoS consensus mechanism. Similarly, a node mutual evaluation strategy can be designed to rank and remove consensus nodes promptly, thus making voting more efficient.The improvement of the effectiveness of cross-sharding consensus.…”

Section: Consensus Developmentmentioning

confidence: 99%

“…Blockchain is a revolutionary technology for distributed data storage, peer-to-peer transmission, consensus mechanism and encryption algorithm (Chen et al , 2021b; Xu et al , 2021a; Li et al , 2021b; Liang et al , 2020; Liu et al , 2022; Pu et al , 2020), etc. The blockchain architecture is divided into six layers as shown in Figure 2 (Li et al , 2021c; Lao et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

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

Xie

Liu

Chen

et al. 2022

IJICC

Self Cite

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PurposeAs 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/approachThe 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.FindingsThis 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/valueThis paper summarizes the future research development of the consensus mechanisms.

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“…The consensus mechanism, the efficiency of which is used to measure the performance of blockchain systems [19][20][21][22][23], is of importance to the blockchain. Additionally, its properties are critically important in determining the node for releasing a new proposal in a distributed system.…”

Section: Introductionmentioning

confidence: 99%

Primary node election based on probabilistic linguistic term set with confidence interval in the PBFT consensus mechanism for blockchain

Xie

Liu

Chen

et al. 2022

Complex Intell. Syst.

Self Cite

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This study proposes a primary node election method based on probabilistic linguistic term set (PLTS) for the practical Byzantine fault tolerance (PBFT) consensus mechanism to effectively enhance the efficiency of reaching consensus. Specifically, a novel concept of the probabilistic linguistic term set with a confidence interval (PLTS-CI) is presented to express the uncertain complex voting information of nodes during primary node election. Then, a novel score function based on the exponential semantic value and confidence approximation value for the PLTS-CI, called Score-ESCA, is used to solve the problems of comparing different nodes with various voting attitudes. This method helps select the node with the highest score by utilizing complex decision attitudes, making it an accurate primary node election solution. Furthermore, the feasibility of our proposed method is proved by both theoretical analysis and experimental evaluations.

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Improvement of the DPoS Consensus Mechanism in Blockchain Based on PLTS

Cited by 9 publications

References 19 publications

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

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

Primary node election based on probabilistic linguistic term set with confidence interval in the PBFT consensus mechanism for blockchain

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