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.
Formalizing Maximal Extractable Value: A Foundational Blockchain Theory
This research establishes a rigorous theoretical framework for MEV, enabling formal security proofs against economic manipulation in blockchain protocols.
Formalizing Accountable Liveness to Identify Consensus Faulting Nodes
This research introduces provable liveness accountability, enabling verifiable identification of nodes causing consensus stalls for enhanced blockchain reliability.
Collaborative Mining Secures Proof-of-Stake/BFT against Long-Range Attacks Efficiently.
Power-of-Collaboration protocol secures PoS/BFT against long-range attacks through efficient, fair, and accountable collaborative puzzle solving.
Formalizing Blockchain Liveness: A New Consensus Algorithm Security Methodology
This research introduces a novel methodology and taxonomy for formally analyzing blockchain consensus algorithm liveness against malicious attacks, ensuring robust system progress.
Layered Cryptographic Framework Fortifies Blockchain against Evolving Multi-Layer Attacks
This research systematically dissects cryptographic vulnerabilities across blockchain's architecture, proposing comprehensive mitigations to enhance foundational security and resilience.
VDFs Enhance Decentralized Randomness for Robust Consensus Security
A novel Verifiable Delay Function application generates unpredictable, unbiasable randomness, fundamentally securing blockchain consensus mechanisms.
Mechanism Design Enhances Blockchain Consensus Truthfulness and Scalability
This research introduces novel mechanism design principles to fortify blockchain consensus, ensuring truthful block proposals and mitigating fork-related coordination failures.
Formalizing Blockchain Liveness with Quantitative Security Analysis
A novel methodology quantifies blockchain liveness against attacks, ensuring robust decentralized system progress and informing future resilient architectures.
