摘要： 重点介绍了电力大数据在应用过程中存在的主要问题，并结合身份认证、外包计算、全同态加密等新兴技术，给出了电力大数据密态多源协同安全框架，该框架可以让电力大数据安全地流通并实现外包计算，从而构建一个安全的计算环境。随后提出的多方协作安全可信环境体系可完成身份认证，提高安全性的同时简化身份认证流程，提出的电力大数据密态安全计算关键技术可以提高同态加密的运算效率，并提升安全性，同时将该两技术进行结合提出了外包计算密码技术框架及其工作流程。最后通过与常用的同态加密库SEAL进行对比，验证了所提出的以“同态构型”加密算法为核心的密态多源协同安全应用框架具有运行效率高、扩展性好的特点，适用于大数据的安全外包计算等场景中。

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