Rebel: A Cross-Chain Data Audit Scheme Based on Reputation Model to Defend Against Malicious Nodes
摘要
Data silos and the Matthew Effect in consortium blockchains lead to inadequate protection against malicious behaviors by traditional cross-chain auditing mechanisms, with high-reputation nodes monopolizing auditing opportunities. This paper proposes Rebel, a reputation-driven cross-chain auditing framework. The framework achieves privacy-preserving verification through decentralized identity and zero-knowledge proofs, employs a probabilistic node election mechanism to balance reputation and fairness, and designs a tax-based reputation pool management model to dynamically incentivize honest behavior. Experimental results demonstrate that Rebel effectively suppresses malicious behavior, achieves fair reputation distribution, and reduces cross-chain auditing latency by up to 90% in high-latency scenarios.