부산대학교 도서관

Blockchain oracle is one of the important secure channels for obtaining off-chain data in the blockchain. Addressing the weak security issue in existing blockchain oracle solutions when acquiring and validating multi-source off-chain data, this paper proposes a data privacy protection method based on the ChainLink oracle architecture. Firstly, the privacy-sensitive data obtained by the blockchain oracle is desensitized and subjected to homomorphic processing. Subsequently, the obtained data is homomorphically validated, and the validated data is aggregated to reduce communication overhead. Finally, an improved threshold aggregate signature is employed to sign the aggregated data, significantly enhancing the security and stability of the data while preserving data privacy. Experimental results demonstrate that this method enables the oracle to meet the performance requirements of practical applications while effectively protecting the privacy of the acquired data.