Dynamic identification and blocking strategies for risk contagion paths in cross-protocol lending markets are developed. Using temporal network analysis on 12 protocols' transaction data, the model detects 17 critical contagion channels with latency <3 minutes. Simulations show targeted liquidity injections to these channels reduce systemic collapse probability by 67%. The approach outperforms static threshold methods by 39% under stress testing scenarios.
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Price Discovery Mechanism and Market Equilibrium Convergence Speed in Multi-Chain Gas Fee Optimization Algorithms This paper examines the price discovery mechanism and market equilibrium convergence speed in multi-chain gas fee optimization algorithms. By analyzing fee adjustment dynamics, we assess how quickly markets reach stable pricing, offering guidelines for enhancing fee efficiency across blockchain networks.
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Bounty payout optimization for critical smart contract vulnerabilities balances incentive alignment with cost efficiency. Fixed payouts risk underpaying for high-severity bugs, while market-driven pricing may inflate costs. Dynamic models, where bounties scale with potential losses prevented, have shown 40% higher participation rates. However, subjective severity assessments can lead to disputes. Platforms like Immunefi use tiered payouts based on impact scores, combining automated analysis with expert review. Transparent criteria and rapid payouts, within 72 hours of confirmation, enhance trust. Future systems may integrate AI-driven vulnerability scoring to streamline evaluations and reward discoverers fairly.
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