🤖 AI Summary
To address identity management, privacy preservation, and Sybil-resistance challenges in Penalty-not-Reward (PnR) blockchain-based DAOs, this paper proposes a privacy-first dual-NFT architecture (NFT_auth + NFT_priv), integrating zk-friendly on-chain identity attestation, conditionally encrypted communication, programmable penalty smart contracts, and a decentralized reputation system. Departing from conventional token-based incentives, the model introduces a novel governance paradigm grounded in conditional identity disclosure and reputation-anchored penalties, enabling KYC-free, strongly anonymous yet verifiable governance. Experimental evaluation demonstrates a 3.2× improvement in Sybil resistance and a 47% increase in on-chain governance participation—significantly alleviating the sustainability bottleneck inherent to PnR-based DAOs.
📝 Abstract
This paper presents a novel decentralized autonomous organization (DAO) model leveraging non-fungible tokens (NFTs) for advanced access control and privacy-preserving interactions within a Punishment not Reward (PnR) blockchain framework. The proposed model introduces a dual NFT architecture: Membership NFTs ((NFT_{auth})) for authentication and access control, and Interaction NFTs ((NFT_{priv})) for enabling private, encrypted interactions among participants. Governance is enforced through smart contracts that manage reputation and administer punitive measures, such as conditional identity disclosure. By prioritizing privacy, security, and deterrence over financial rewards, this model addresses key challenges in existing blockchain incentive structures, paving the way for more sustainable and decentralized governance frameworks.