Distributed pseudonym mechanism based on Consortium Blockchain
Baohui Li, Miaomiao Wang, Shiyou Chen, Lanlan Rui, Yang Yang, Zhipeng Gao · 2021
Crowd sensing is a way to obtain multiple sensing data onto users or mobile devices and is widely used in industrial Internet, smart city, smart medical, etc. However, when users upload sensing data involving sensitive information such as a user identity and location, there will be risks of data privacy leakage and user tracking. For the problem of this scenario, we propose a blockchain-based pseudonym generation mechanism, which uses pseudonyms to realize user anonymity and user identity authentication. The average speed of pseudonym generation and authentication in the simulation experiment is about 0.1s, the experimental results verify the availability and effectiveness of the distributed pseudonym mechanism.