Malicious node resilience refers to a blockchain network’s ability to continue operating correctly and securely even when a certain proportion of its nodes act dishonestly. This property ensures that the network can resist attacks, maintain data integrity, and reach consensus despite adversarial behavior. It is a critical measure of a decentralized system’s robustness.
Context
Discussions around malicious node resilience are central to evaluating the security and trustworthiness of various blockchain protocols in crypto news. Research focuses on designing consensus mechanisms that can tolerate a higher percentage of faulty nodes without compromising network operations. Developments in cryptography and distributed systems aim to enhance this crucial defense mechanism.
PANDAS uses direct communication and a two-phase seeding/consolidation model to meet the 4-second DAS deadline, ensuring data availability despite malicious nodes.
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