From Generation to Application Blockchain and Privacy Computing Enable AI Data be Trusted
Yanhua Li, Faming Hu, Ning Lin, Zhuo Zhan, Pengfei Li, Yi Zhang, Yangyang Li, Xiaojin Chen, Zigang Chen, Guolin Tan · 2024
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.