Blockchain-based Off-chain Extension Model for Geographic Information Data
Jie Zhao, Wenfen Liu, Jing Wang, S. M. Li, Yongcan Lu · 2023
In recent years, the geographic information industry has been thriving; however, this growth has also gradually revealed certain security issues, including improper access control, data tampering, and forgery. Thus, to solve these problems, we propose a blockchain-based off-chain extension model for geographic information data, which uses blockchain and Interplanetary file system (IPFS) to realize the storage and sharing of geographic information data. In our scheme, each transaction on the blockchain needs to be confirmed by multiple signatures, so we use an aggregate signature scheme to reduce the size of the signatures and enable batch verification. Access control during data sharing is achieved through Ciphertext policy attribute based encryption. In order to improve the query efficiency of the blockchain, we design an MPT-based organizational storage of geographic information data. The experimental results show that the scheme can effectively reduce the cost of storing data on the chain while ensuring secure data sharing.