Practical Byzantine Fault Tolerance-Enhanced Blockchain-Enabled Data Sharing System: Latency and Age of Data Package Analysis

A Prediction-Enhanced Physical-to-Virtual Twin Connectivity Framework for Human Digital Twin

“…While FL and blockchain have been demonstrated as useful tools to ensure security and privacy in digital twinbased systems, it remains unclear how to meet the extreme end-to-end delay and reliability requirements in such systems since the adoption of such tools can significantly complicate the users experienced latency [1], [11].…”

Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain

“…Data security management research of industrial internet [23][24][25][26][27] Data trusted management research based on blockchain [28][29][30][31][32][33][34][35] Data Trusted Management research of industrial internet data based on blockchain [36][37][38][39][40][41] In terms of data security management research of industrial internet, Misra et al [23] explored the security risks existing in four major industries of IIoT: medical, transportation, mining and manufacturing; analyzed the existing solutions and challenges, and discussed the research gaps to mitigate these risks. In addition to minimizing the harm and risk to personnel, it is the current research hotspot to improve the security and privacy of the data environment and to enhance data management by interconnecting various units.…”

“…The results show that the analysis proposed in this study can be used to study the performance of any data-sharing system supporting blockchain, which enhances security for data sharing under blockchain technology. Okegbile et al [35] analyzed the performance of the blockchain data-sharing framework in terms of delay and data age and studied the applicability of blockchain technology in the data-sharing system. They also proposed an enhanced blockchain data-sharing system with PBFT consensus and captured the verification of the PBFT scheme by using Erlang sequential distribution.…”

Performance of PBFT Consensus under Voting by Groups

“…Another approach is to allow the consensus committee to split into a number of disjoint committees that may vote either together, i.e., in a plenary-like mode, or separately, in which case a consensus decision requires that all committees individually accept the proposed data block. This approach is well suited to hierarchical (layered) Internet of Things (IoT) systems [8] as well as to sharded blockchain systems [18,19] in which the global blockchain is replicated in a number of overlapping sub-blockchains or shards.…”