Blockchain and NFTs for Trusted Ownership, Trading, and Access of AI Models

【Author】 Battah, Ammar; Madine, Mohammad; Yaqoob, Ibrar; Salah, Khaled; Hasan, Haya R.; Jayaraman, Raja

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】The demand for high-quality Artificial Intelligence (AI) models is ever-increasing in this digital era. However, most of the existing methods leveraged for managing the ownership, trading, and access of AI models fall short of providing traceability, transparency, audit, security, and trustful features. In this paper, we propose a solution based on blockchain and Non-fungible Tokens (NFTs) to manage ownership rights and exchange of AI models in a transparent, traceable, auditable, secure, and trustworthy manner. Smart contracts are employed to enforce ownership, ease of access, and exchange policies for the unique NFT linked to an AI model. We use decentralized storage of the InterPlanetary File System (IPFS) and proxy re-encryption oracles to securely fetch, store, and share data related to AI models. We present algorithms along with their implementation, testing, and validation details. The proposed solution is evaluated using cost and security analyses to show its affordability and resiliency against security threats and attacks. All smart contract codes are made publicly available on GitHub.

【Keywords】Artificial intelligence; Data models; Collaboration; Security; Computational modeling; Smart contracts; Data privacy; Blockchains; Nonfungible tokens; Blockchain; decentralized storage; non-fungible tokens (NFTs); oracles; provenance; proxy re-encryption; smart contracts

【发表时间】2022

【收录时间】2022-11-09

【文献类型】实验仿真

【主题类别】

区块链应用-虚拟经济-NFT