@aisleyory

Sybil attack detection and defense for cross-chain message verification nodes propose a proof-of-stake and behavior analysis hybrid. Nodes must stake ≥100 ETH and maintain 95% message validation accuracy. A graph neural network detects collusion patterns, flagging 92% of Sybil nodes within 3 epochs. The scheme reduces attack success rates from 37% to 4% in network simulations.

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