Proof-of-Behavior: Behavior-Driven Consensus for Trustworthy Decentralized Finance
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866908425537978368 |
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| author | Borjigin, Ailiya Zhou, Wei He, Cong |
| author_facet | Borjigin, Ailiya Zhou, Wei He, Cong |
| contents | Current blockchain protocols (e.g., Proof-of-Work and Proof-of-Stake) secure the ledger yet cannot measure validator trustworthiness, allowing subtle misconduct that is especially damaging in decentralized-finance (DeFi) settings. We introduce Proof-of-Behavior (PoB), a consensus model that (i) gives each action a layered utility score -- covering motivation and outcome, (ii) adapts validator weights using recent scores, and (iii) applies decentralized verification with proportional slashing. The reward design is incentive-compatible, yielding a Nash equilibrium in which honest behavior maximizes long-run pay-offs. Simulated DeFi experiments (loan-fraud detection, reputation-weighted validation) show that PoB cuts fraud acceptance by more than 90%, demotes malicious validators within two rounds, and improves proposer fairness versus standard PoS, all with no more than a 5% throughput overhead. By linking consensus influence to verifiably trustworthy conduct, PoB offers a scalable, regulation-friendly foundation for secure and fair blockchain governance in financial applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_22171 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Proof-of-Behavior: Behavior-Driven Consensus for Trustworthy Decentralized Finance Borjigin, Ailiya Zhou, Wei He, Cong Distributed, Parallel, and Cluster Computing Current blockchain protocols (e.g., Proof-of-Work and Proof-of-Stake) secure the ledger yet cannot measure validator trustworthiness, allowing subtle misconduct that is especially damaging in decentralized-finance (DeFi) settings. We introduce Proof-of-Behavior (PoB), a consensus model that (i) gives each action a layered utility score -- covering motivation and outcome, (ii) adapts validator weights using recent scores, and (iii) applies decentralized verification with proportional slashing. The reward design is incentive-compatible, yielding a Nash equilibrium in which honest behavior maximizes long-run pay-offs. Simulated DeFi experiments (loan-fraud detection, reputation-weighted validation) show that PoB cuts fraud acceptance by more than 90%, demotes malicious validators within two rounds, and improves proposer fairness versus standard PoS, all with no more than a 5% throughput overhead. By linking consensus influence to verifiably trustworthy conduct, PoB offers a scalable, regulation-friendly foundation for secure and fair blockchain governance in financial applications. |
| title | Proof-of-Behavior: Behavior-Driven Consensus for Trustworthy Decentralized Finance |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2506.22171 |