Foundational Principles Underpin Robust Blockchain Security Architectures
This research synthesizes cryptographic, consensus, and decentralization principles, revealing their synergistic role in securing distributed ledger technologies and mitigating cyber threats.
Ethereum Fusaka Upgrade Boosts Network Scalability and Developer Capabilities
The Fusaka upgrade fundamentally enhances Ethereum's core infrastructure, enabling richer decentralized applications and significantly improving Layer 2 scalability for the entire ecosystem.
Social Paradigm Detection Bolsters Byzantine Fault Tolerance in Blockchains
A novel social-inspired mechanism detects Byzantine nodes with high confidence, enhancing blockchain resilience beyond static fault assumptions.
Formalizing Economic Security for Permissionless Consensus Protocols with Slashing
This research formalizes economic security for permissionless consensus, demonstrating how slashing mechanisms in Proof-of-Stake can enhance network resilience.
Alpenglow: Solana’s New Consensus Protocol for Real-Time Blockchains
Alpenglow introduces Votor and Rotor, replacing TowerBFT and Proof-of-History to achieve millisecond-level finality, enhancing real-time blockchain performance.
Epidemic Consensus Protocol for Scalable, Decentralized, Leaderless Blockchain Networks
A novel epidemic consensus protocol significantly enhances blockchain scalability and efficiency by enabling leaderless, lightweight node interactions, critical for large decentralized systems.
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.
Epidemic Consensus Protocol Enables Scalable, Decentralized Blockchain Networks
A novel epidemic consensus protocol, BECP, leverages decentralized information dissemination to achieve high throughput and low latency across large-scale blockchain networks.
AI Optimizes Blockchain Consensus for Enhanced Scalability and Security
This research introduces an AI-driven model that dynamically optimizes blockchain consensus parameters, significantly enhancing scalability, security, and efficiency.
