Robust Distributed Arrays Secure Data Availability Sampling Networking Layer
Researchers introduce Robust Distributed Arrays, a novel distributed data structure that secures the DAS networking layer based on absolute honest nodes, enabling scalable data availability.
Falcon Protocol Achieves Low Latency Asynchronous Byzantine Fault Tolerance
A novel Graded Broadcast mechanism bypasses the agreement stage in aBFT, delivering high throughput and low latency under network uncertainty.
Epidemic Consensus Achieves Leaderless, Extreme-Scale, Collusion-Resistant Blockchain Finality
This new leaderless consensus protocol, Blockchain Epidemic Consensus Protocol (BECP), leverages viral communication to solve the decentralization-scalability trade-off.
Validated Strong Consensus Protocol Simplifies Asynchronous Blockchain Architecture
A new BFT model allows asynchronous leader-based coordination, achieving linear view changes and making large-scale asynchronous ledgers practical.
Uncertified DAG Consensus Achieves Sub-Second Latency in Asynchronous Networks
A novel aBFT protocol bypasses costly explicit certification using an uncertified DAG, delivering sub-second finality essential for global-scale decentralized systems.
Robust Distributed Arrays Secure Data Availability Sampling without Honest Majority
This research introduces Robust Distributed Arrays, a novel distributed data structure that secures the DAS networking layer against malicious actors without relying on an honest majority assumption.
Machine Learning Hybrid Consensus Fortifies Blockchain Security
This research integrates machine learning with hybrid consensus algorithms, creating adaptive, robust blockchain security against cyber-attacks.
