This paper presents a decentralised autonomous organisation (DAO) model that uses non-fungible tokens (NFTs) for identity management and privacy-preserving interactions within a Punishment not Reward (PnR) blockchain mechanism. The proposed model introduces a dual NFT architecture deployed on Layer 2 networks: Membership NFTs (NFTauth) for authentication and access control and interaction NFTs (NFTpriv) for private interactions among participants. Our Layer 2 implementation achieves 97\% gas cost reduction while maintaining security through cross-chain mechanisms. The identity management system incorporates decentralised KYC processes and Sybil attack resistance using soulbound token characteristics. Governance operates through smart contracts that manage reputation and administer punitive measures, including conditional identity disclosure for forensic purposes. Governance operates through smart contracts that manage reputation and administer punitive measures, including conditional identity disclosure when misconduct is detected.
@article{arxiv.2405.13156,
title = {A Privacy-Preserving DAO Model Using NFT Authentication for the Punishment not Reward Blockchain Architecture},
author = {Talgar Bayan and Richard Banach},
journal= {arXiv preprint arXiv:2405.13156},
year = {2025}
}
Comments
This paper was accepted and presented at the International Conference on Blockchain Research and Applications (BCRA 2024), Hangzhou, China, July 26-27, 2024. An extended version has been submitted to the journal Blockchain: Research and Applications (Elsevier) for publication consideration. This arXiv version corresponds to the conference-accepted manuscript