Improved Method of Blockchain Cross-Chain Consensus Algorithm Based on Weighted PBFT

Liu, Lei; Song, Lexin; Wan, Jiahua

doi:10.1155/2022/5169259

Cited by 6 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A blockchain product traceability trusted data analysis and consensus method [23] aimed to enhance PBFT efficiency, especially when increasing the number of Byzantine nodes. The blockchain cross-chain consensus algorithm was improved using weighted PBFT [24], but throughput was inefficient and the security level was compromised. A new K-Nearest Neighbor (KNN)-based consensus mechanism [25] was designed to optimize the consensus mechanism with an SLA guarantee, but the throughput was not satisfactory.…”

Section: Related Workmentioning

confidence: 99%

An Optimization of Blockchain Parameters for Improving Consensus and Security in eHealthChain

2024

IJIES

View full text Add to dashboard Cite

In healthcare systems, blockchain technology plays a crucial role in transmitting COVID-19 data among multiple entities. Over time, various blockchain-based medical applications have emerged to handle medical information confidentially. One such system is the Scalable eHealthChain system (SeHealthChain), which utilizes a sharding scheme consisting of transaction chain and reputation chain structures to enhance throughput and security. However, the system employs a modified Raft-based Synchronous Consensus Scheme (RSCS) for generating the transaction blockchain, which can potentially introduce illegitimate transactions to the Hyperledger fabric network if a rogue node transfers them to the orderer. This poses a significant security risk in the worst-case scenarios. Additionally, as the hash rate fluctuates exponentially, the generation period of transaction blocks and computation difficulty increase. To address these issues, this article proposes an Optimized SeHealthChain (OSeHealthChain) system. It integrates a Tuna Swarm Optimization Algorithm (TSOA) with the modified RSCS to dynamically adjust the blockchain parameters in response to significant changes in the hash rate. The TSOA optimizes two variables, namely the Block Interval (BI) and Difficulty Adjustment Interval (DAI) of the Proof-of-Work (PoW) for the transaction blockchain, based on objective functions that consider the Standard Deviations (SD) of the mean BI and difficulty. By selecting appropriate variables, the system generates new transaction blocks with minimal nodes and overhead, effectively validating transactions and blocks to enhance the security level. Extensive simulations show that the OSeHealthChain achieves a throughput of 3918tps and a user-perceived latency of 63.8s for 1000 nodes, outperforming the SeHealthChain, eHealthChain, Permissionless Proof-of-Reputation-X (PL-PoRX), and hybrid Proof of Stake-Practical Byzantine Fault Tolerance (POS-PBFT) algorithms in blockchain systems. It also achieves throughputs of 7051tps, 6418tps, and 6290tps for simple, camouflage, and observe-act attacks, respectively, with 1000 nodes and a shard dimension of 200 during 20 epochs.

show abstract

Section: Related Workmentioning

confidence: 99%

An Optimization of Blockchain Parameters for Improving Consensus and Security in eHealthChain

2024

IJIES

View full text Add to dashboard Cite

show abstract

“…In addition, L. Lei et al proposed a weighted PBFT crosschain algorithm improvement for the problems of low fault tolerance, low throughput, and high latency of the traditional PBFT method, constructed a cluster-centered blockchainbased cross-chain exchange model, changed the role of the original consensus node, and proposed three new node types, which are consensus service node and cross-chain exchange node and application node [23]. P. Li et al proposed a new protocol Gosig, which designs a new consensus protocol as well as the underlying Gosig network, using a combination of transmission and aggregate signature Gossip to achieve improved data transmission [24].…”

Section: Related Workmentioning

confidence: 99%

“…(σ * , P) = (c * (bP, V 1 P + a 1 (aP) + n i=2 (V i P + a i PublicKey i )) (22) The defender C can calculate the partial signature result σ 1 of U 1 by looking up the list {L 1 , L 2 , L 3 , S, P} and the valid signature result σ * of the saboteur A. The result σ 1 can be obtained from the Equation (23).…”

Section: ) Security Verificationmentioning

confidence: 99%

An Efficient and Scalable Byzantine Fault-Tolerant Consensus Mechanism Based on Credit Scoring and Aggregated Signatures

Tong,

Li,

2024

IEEE Access

View full text Add to dashboard Cite

Practical Byzantine Fault Tolerance (PBFT), a classic consensus algorithm in blockchain technology, is extensively used in consortium blockchain networks. However, it is challenged by issues such as low consensus efficiency, poor scalability, inability to guarantee throughput with large-scale node access, and complex communication processes. To solve these problems, this paper proposes an improved PBFT consensus mechanism based on credit scoring and aggregated signatures, i.e., the CA-PBFT algorithm. First, the algorithm designs the node credit scoring mechanism, adds the coordination node in the original algorithm model, stipulates the node state and functional limitations, and realizes the dynamic joining and exiting of the nodes, to solve the low efficiency of the PBFT algorithm during the consensus process and the problem of not supporting the dynamic joining and exiting of the nodes; at the same time, the signature scheme based on the BLS aggregated signature is designed, which reduces the length of the signature and simplifies the signing process, to solve the problem of the node's signature taking up too much space during the consensus process, which affects the efficiency of the signature validation as well as the efficiency of the signature construction. Experimental results show that this consensus mechanism enables an efficient, secure, and scalable consensus process with low resource and computational costs.

show abstract

“…Kang J [6] proposed efficient side-chain construction with fast cross-chain transport and small proof size. Lei L [7] proposed a cross-chain scheme for secure blockchain collaboration and interaction for efficient model training, model trading, and payments. Liu S [8] proposed an improved method of blockchain cross-chain consensus algorithm based on weighted PBFT.…”

mentioning

confidence: 99%

Research on Blockchain Cross-Chain Model Based on “NFT + Cross-Chain Bridge”

Han,

Wang,

Wang

2024

IEEE Access

View full text Add to dashboard Cite

With the development of blockchain technology and the economy, the demand for data interaction and application collaboration between blockchains is increasing. Due to the differences in the data structure, interface protocols, consensus mechanisms, and even business models, new "chain silos" have been formed among blockchain applications, which limit the interoperability of asset exchange and business collaboration among blockchains. Based on the full analysis of blockchain technology characteristics and blockchain Internet development needs, this paper designs a blockchain cross-chain system based on the unified NFT identity identification technology, address tracking technology, and seamless interconnection of mobile security cross-chain technology, based on the "NFT + Cross-chain bridge". Based on the service mode, verification mode, and security of Bridges, six model timeliness, smart contract robustness, and convergence radius were selected from 44 cross-chain Bridges for experimental verification. Finally, it is concluded that the overall performance of the blockchain cross-chain system based on "NFT + Cross-chain bridge" is far more universal and better security than the performance of ordinary Bridges.INDEX TERMS Blockchain Cross-chain model, NFT, unified identity, evaluation model.

show abstract

Improved Method of Blockchain Cross-Chain Consensus Algorithm Based on Weighted PBFT

Cited by 6 publications

References 18 publications

An Optimization of Blockchain Parameters for Improving Consensus and Security in eHealthChain

An Optimization of Blockchain Parameters for Improving Consensus and Security in eHealthChain

An Efficient and Scalable Byzantine Fault-Tolerant Consensus Mechanism Based on Credit Scoring and Aggregated Signatures

Research on Blockchain Cross-Chain Model Based on “NFT + Cross-Chain Bridge”

Contact Info

Product

Resources

About