Fully homomorphic encryption-based privacy-preserving scheme for cross edge blockchain network

【Author】 Ma, Zhaofeng; Wang, Jingyu; Gai, Keke; Duan, Pengfei; Zhang, Yuqing; Luo, Shoushan

【Source】JOURNAL OF SYSTEMS ARCHITECTURE

【影响因子】5.836

【Abstract】The growing development of blockchain technology has led to the emergence of blockchain applications for various fields. One significant use of blockchain technology is the edge blockchain network, which is a blockchain network made up of connected edge computer nodes. However, on-chain privacy data leaking is a concern on the present edge blockchain network. The demand for collaborative interaction amongst edge computing nodes in many domains is growing more critical as the Internet of Things continues to evolve. In this paper, we propose a data privacy-preserving scheme for cross edge blockchain network, which uses the privacy protection technology of fully homomorphic encryption to encrypt the data on the chain to ensure the "available and invisible"of the on-chain privacy data. First of all, this paper designs a cross edge blockchain model and give details of the interaction and privacy computing process in the cross edge blockchain. a distributed private key sharing scheme is designed in this work to provide the relay chain's auditable functionality. Subsequently, we describe the security of the scheme in detail. Finally, we implement this scheme using the CKKS algorithm. Through simulation experiments, we evaluate the performance of the instantiation process of the scheme. The test results manifest that the proposed scheme has excellent practicability and security.

【Keywords】Fully homomorphic encryption; Cross blockchain; Privacy-preserving; Edge computing

【发表时间】2023 JAN

【收录时间】2022-12-18

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-隐私计算