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

被引:6
|
作者
Battah, Ammar [1 ]
Madine, Mohammad [1 ]
Yaqoob, Ibrar [1 ]
Salah, Khaled [1 ]
Hasan, Haya R. [1 ]
Jayaraman, Raja [2 ]
机构
[1] Khalifa Univ, Dept Elect Engn & Comp Sci, Abu Dhabi, U Arab Emirates
[2] Khalifa Univ, Dept Ind & Syst Engn, Abu Dhabi, U Arab Emirates
来源
IEEE ACCESS | 2022年 / 10卷
关键词
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; CHALLENGES;
D O I
10.1109/ACCESS.2022.3215660
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:112230 / 112249
页数:20
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