中图分类号： TP399
文献标识码： A
DOI： 10.19358/j.issn.2096-5133.2022.04.008
引用格式： 杨赟博，胡雪晖，洪晟. 电力大数据密态多源协同安全应用研究[J].信息技术与网络安全，2022，41(4)：52-59.

Research on the security application of encrypted multi-source collaborative for power big data

Abstract： This paper focuses on the main problems in the application of big data in electricity, combines emerging technologies such as identity authentication, outsourced computing and full homomorphic encryption，and proposes an encrypted multi-source collaborative security framework for power big data. It allows power big data to circulate safely and realize outsourced computing, so as to build a secure computing environment. Then the multi-party collaborative security and trustworthy environment system proposed in this paper can complete identity verification. The proposed key technology of cryptographic security computing for power big data can improve the computational efficiency of homomorphic encryption and enhance security, while the two technologies are combined to propose a framework for outsourced computing cryptography and its workflow. Finally, this paper shows that the proposed cryptomorphic multi-source collaborative security application framework with the "homomorphic configuration" encryption algorithm as the core has high operational efficiency and good scalability, and it could be used in scenarios such as outsourced computing of big data.

Key words : power big data；data security；outsourcing computing；homomorphic encryption；identity verification