Distributed Consensus in Blockchains
Collaborator(s): Prof. Show-Shiow Tzeng, Prof. Li-Chun Wang
This research focuses on distributed consensus mechanisms and explores how proposal quality evaluation and reputation-based leader selection can improve the decision quality and operational efficiency of PBFT-based protocols. It also analyzes and mitigates safety and liveness issues arising from low-quality proposals, collisions, and livelocks.
Journal Papers (0)
Conference Papers (0)
Patents (0)
Magazine Papers (0)
Submitted (3)
[S03]W.A. Prabowo, S.W. Wang, S.H. Cheng, and L.C. Wang, "SHIELD-MCPS: Intelligent, Fair, and Adaptive Leader Selection for Byzantine Fault-Tolerant Consensus in Permissioned Blockchains," under review by IEEE Transactions on Network Science and Engineering, (Last update: 2026-06-16 Undergoing review in 1st round )
[S02]W.A. Prabowo, S.W. Wang, S.S. Tzeng, and L.C. Wang, "Collision and Livelock: Primary Selection Failures in Reputation-Based PBFT with Inconsistent Scores," under review by IEEE Globecom 2026 CISS Symposium, (Last update: 2026-05-04 Submitted for review )
[S01]S.W. Wang, W.L. Chen, and S.S. Tzeng, "VLQ Attack: Valid-but-Low-Quality Proposals in PBFT-Based MIS Agreement over Transaction Conflict Graphs in Permissioned Blockchains," under review by IEEE Globecom 2026 CISS Symposium, (Last update: 2026-05-04 Submitted for review )
Revising/Preparing (2)
[R02]S.W. Wang, W.L. Chen, and S.S. Tzeng, "QE-X-PBFT: Bridging the Validity-Quality Gap in Byzantine Consensus for Permissioned Blockchains," preparing for IEEE Transactions on Parallel and Distributed Systems.
[R01]Anonymous, "Accelerating Federated Learning Convergence in Blockchains via Quality-Aware PBFT Consensus," preparing for IEEE ICC 2027 CISS Symposium.