From Generation to Application Blockchain and Privacy Computing Enable AI Data be Trusted
This paper proposes a trusted model of AI data based on blockchain and privacy computing technology. The model designs a four-layer architecture from perception layer, gateway layer to storage layer and application layer, tracks data processing records by using blockchain technology, and protects the security of gateway devices through Trusted Execution Environment. In addition, we also analyzes the security of the model. This framework can effectively solve the se-curity problem of AI data in the whole life cycle and provide reliable data support for applications.
Authors
- Xiaojin Chen (ORCID: https://orcid.org/0000-0002-4735-7467)
- Guolin Tan
- Fang Hu (ORCID: https://orcid.org/0000-0002-5343-4596)
- Zigang Chen (ORCID: https://orcid.org/0000-0003-4754-7049)
- Pengfei Li (ORCID: https://orcid.org/0000-0002-1484-0698)
- Yangyang Li (ORCID: https://orcid.org/0000-0002-8478-3932)
- Yi Zhang (ORCID: https://orcid.org/0000-0001-7201-2092)
- Yanhua Li (ORCID: https://orcid.org/0000-0003-0410-4686)
- Ning Lin (ORCID: https://orcid.org/0000-0002-6198-7043)
- Zhuo Zhan
Institutions
- Liaoning Planning and Design Institute of Post and Telecommunication (CN)
- China Communications Construction Company (China) (CN)
Publication Details
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1109/isceic63613.2024.10810163
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00