Topology-Aware BFT Secures Consensus in Heterogeneous Distributed Systems
NetTopoBFT introduces a topology-aware consensus mechanism that dynamically adjusts fault tolerance based on node connectivity, solving BFT's performance degradation in complex, partially-covered networks.
New BFT Consensus Uses Graded Broadcast to Bypass Agreement Stage
Falcon BFT introduces Graded Broadcast and Asymmetrical Agreement to radically lower consensus latency, enabling faster finality in decentralized systems.
Hierarchical BFT with Aggregated Signatures Secures Resource-Constrained Edge Networks
A two-layer BFT architecture and aggregated signatures reduce consensus communication overhead from quadratic to linear, enabling secure, scalable edge computing.
Pod Consensus Achieves Optimal Latency and Censorship Resistance
The Pod consensus notion eliminates inter-replica communication to achieve $2delta$ optimal latency, enabling high-speed, censorship-resistant decentralized applications.
Decentralized Arrangers Secure Layer Two Rollups with Set Consensus
A novel Decentralized Arranger, powered by Set Byzantine Consensus, eliminates centralized L2 sequencer risk, unlocking true rollup trustlessness.
Mutually-Assured-Destruction DAG Secures Consensus against Adversarial Block Withholding
MAD-DAG introduces a ledger function discarding competing block contents to formally eliminate selfish mining profit, securing decentralized consensus.
Falcon ABFT Achieves Low Latency through Agreement Bypass
Falcon introduces Graded Broadcast to bypass the agreement stage in ABFT, fundamentally reducing latency and boosting asynchronous throughput.
Decoupling Fair Ordering from Consensus Boosts BFT Throughput and Security
A new BFT architecture separates transaction ordering from block consensus, solving the performance trade-off for provable MEV mitigation.
Threshold Cryptography and Blockchain Secure Decentralized Location and Query Privacy
A dual-protection framework integrates Shamir's secret sharing with a token-incentivized private chain to secure both location and query data in LBS.
