Achieving Accountable Liveness in X-Partially-Synchronous Consensus Networks
This research establishes a precise framework for ensuring network progress and identifying faulty actors within dynamic blockchain environments, foundational for resilient protocol design.
ZKPoT: Private, Efficient Consensus for Federated Learning Blockchains
A novel Zero-Knowledge Proof of Training consensus validates federated learning contributions privately, overcoming traditional blockchain inefficiencies and privacy risks.
Mechanism Design Secures Blockchain Consensus against Untruthful Forks
This research introduces revelation mechanisms to ensure truthful blockchain consensus, leveraging economic incentives to prevent malicious forks and enhance network reliability.
TRAIL: Cross-Shard Validation for Byzantine Shard Protection
TRAIL introduces a dynamic cross-shard validation algorithm, leveraging asset history to select validators, enhancing scalability and resilience against malicious shards.
Probabilistic Byzantine Fault Tolerance Enhances Distributed Consensus Scalability
A new probabilistic Byzantine Fault Tolerance protocol significantly improves consensus scalability by adopting realistic adversary assumptions, reducing message complexity.
ZKPoT Secures Federated Learning Consensus with Zero-Knowledge Proofs
A novel Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism validates federated learning contributions privately, mitigating privacy risks and inefficiencies.
Scalable Asynchronous BFT Consensus for Vote-Based Blockchains
This research introduces a validated strong Byzantine Fault Tolerant consensus model, enabling efficient leader-based coordination in asynchronous networks.
Two-Fold BFT Dynamically Detects Byzantine Nodes, Enhancing Blockchain Consensus Resilience
A novel parent-child monitoring mechanism enables dynamic Byzantine node detection, securing blockchain consensus against unpredictable malicious behavior.
Achilles: TEE-Assisted BFT Consensus with Rollback Resilient Recovery
This research introduces a novel Byzantine Fault Tolerant consensus protocol that leverages Trusted Execution Environments to reduce replica count and ensure liveness during TEE failures.
