As peer-to-peer (P2P) networks grow in complexity and decentralization, enforcing secure and fair access control becomes increasingly challenging due to dynamic topologies, high churn, and limited trust anchors. Traditional token-based mechanisms, while effective in incentivizing activity, fail to capture behavioral nuances necessary for long-term governance and decision-making. In this work, we propose a novel governance token mechanism that integrates trust metrics into token distribution, enabling behavior-aware participation in blockchain governance. Based on a hierarchy of smart contracts, including the Access Control Contract (ACC), the Judging Contract (JC), and the Governance Token Contract (GTC), our system dynamically evaluates peer behavior through a cost function based on token balance, compliance rate, and peer status. Governance tokens are minted or slashed proportionally on the basis of trust scores calculated cyclically after network activity thresholds. Experimental evaluations demonstrate that our approach successfully restricts governance privileges to trustworthy peers, mitigates the influence of malicious nodes, and supports reputation recovery over time. This behavior-based model improves fairness, security, and accountability in decentralized access control.

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Governing Blockchain-Based Decentralized Systems

  • Nipesh Pant,
  • Saurav Ghosh,
  • Hemant Upadhyay,
  • Reshmi Mitra

摘要

As peer-to-peer (P2P) networks grow in complexity and decentralization, enforcing secure and fair access control becomes increasingly challenging due to dynamic topologies, high churn, and limited trust anchors. Traditional token-based mechanisms, while effective in incentivizing activity, fail to capture behavioral nuances necessary for long-term governance and decision-making. In this work, we propose a novel governance token mechanism that integrates trust metrics into token distribution, enabling behavior-aware participation in blockchain governance. Based on a hierarchy of smart contracts, including the Access Control Contract (ACC), the Judging Contract (JC), and the Governance Token Contract (GTC), our system dynamically evaluates peer behavior through a cost function based on token balance, compliance rate, and peer status. Governance tokens are minted or slashed proportionally on the basis of trust scores calculated cyclically after network activity thresholds. Experimental evaluations demonstrate that our approach successfully restricts governance privileges to trustworthy peers, mitigates the influence of malicious nodes, and supports reputation recovery over time. This behavior-based model improves fairness, security, and accountability in decentralized access control.