山西大学学报（自然科学版）2025，Vol.48Issue(2)：381-390,10.DOI:10.13451/j.sxu.ns.2024146
大数据环境下隐私保护边缘计算架构的研究
Privacy-preserving Edge Computing Architecture in Big Data Environment
摘要
Abstract
With the rapid development of information technology,the era of big data has fully arrived.By deploying computing and storage resources at the edge of the network,edge computing has gradually emerged as a key technology to address data processing bottlenecks.However,existing edge computing schemes still suffer from some issues in terms of privacy protection,such as lack of user management mechanisms,dependency of underlying cryptographic primitives,and solidification of applicable scenarios.To ad-dress these challenges,this paper proposes a novel privacy-preserving edge computing architecture that combines blockchain audit-ing mechanisms with customizable cryptographic primitives.The architecture enhances user management and malicious behavior prevention through blockchain technology while allowing the customization of cryptographic primitives to accommodate various ap-plication scenarios.The paper uses the Paillier cryptosystem as an example to describe the architecture's design and workflow in de-tail,and provides a formal security proof.Additionally,the paper conducts a performance analysis of the new architecture by simulat-ing Paillier,ElGamal,and CKKS encryption algorithms on three datasets.The results demonstrate that the proposed privacy-preserv-ing edge computing architecture meets the industrial application standards for multiple scenarios and exhibits high practicality and security.关键词
同态加密/CKKS/云计算/Paillier/区块链Key words
homomorphic encryption/CKKS/cloud computing/Paillier/blockchain分类
信息技术与安全科学引用本文复制引用
马海昕,白鹤翔..大数据环境下隐私保护边缘计算架构的研究[J].山西大学学报（自然科学版）,2025,48(2):381-390,10.基金项目
国家自然科学基金(41871286) （41871286）
