PoDaS Algorithm Enhances Supply Chain Security and Efficiency
A novel Proof of Data Sharing (PoDaS) algorithm integrates federated learning and convolutional neural networks, significantly improving blockchain consensus for secure, transparent supply chain information exchange.
Hidden Mechanisms with Zero-Knowledge Proofs for Private Verifiable Commitment
This research enables verifiable, private mechanism execution without mediators, leveraging zero-knowledge proofs to conceal rules while ensuring compliance.
Encrypted Mempools Alone Cannot Solve Maximal Extractable Value
Cryptographically concealing transaction data until execution faces fundamental economic and technical limits, preventing universal MEV mitigation.
Mechanism Design Enforces Truthful Consensus, Mitigating Disputes in Proof-of-Stake
Applying economic revelation mechanisms to PoS protocols ensures truthful block proposal as the unique equilibrium, fundamentally enhancing network robustness.
Decentralized Commit-Reveal Protocol Eliminates MEV Transaction Ordering Exploits
A new commit-reveal scheme forces block producers to order transactions sight unseen, fundamentally eliminating information-based MEV.
Commitment-Reveal Decouples Ordering from Value to Ensure Fairness
A novel two-phase commitment-reveal protocol decouples transaction ordering from content knowledge, eliminating block producer MEV extraction and ensuring provably fair sequencing.
Mechanism Design Guarantees Truthful Consensus in Proof-of-Stake Systems
Revelation mechanisms, triggered by disputes, enforce a unique game-theoretic equilibrium where validators must propose truthful blocks, enhancing scalability.
Distributed Threshold Encryption Mitigates MEV for Provably Fair Transaction Ordering
Distributed threshold encryption conceals transaction content from block producers, enforcing fair ordering and eliminating front-running opportunities.
Threshold Cryptography Introduces Undetectable Collusion Risks in MEV Mitigation
Analyzing threshold encrypted mempools reveals that cryptographic privacy shifts MEV risk to new, undetectable forms of decryptor collusion and information asymmetry
