基于机密计算的5G网络数据可信共享探讨  

Discussion and Research on Trusted Data Sharing of 5G Network Based on Confidential Computing

作　　者：任梦璇 薛淼[1] 任杰 王泽林[1] Ren Mengxuan;Xue Miao;Ren Jie;Wang Zelin(China Unicom Research Institute,Beijing 100048,China)

机构地区：[1]中国联通研究院,北京100048

出　　处：《邮电设计技术》2025年第3期59-64,共6页Designing Techniques of Posts and Telecommunications

摘　　要：为应对数字化转型加速带来的巨大数据隐私风险,机密计算技术逐渐崭露头角。机密计算是一种基于硬件基础设施中的可信执行环境来保护“使用中”数据隐私和完整性安全的技术,实现了数据的可用不可见。首先介绍了机密计算的含义和技术分类以及5G网络数据分析网元NWDAF的功能架构,梳理了5G网络数据分析功能面临的挑战,进而提出一种基于机密计算的5G网络数据分析应用场景,重点探讨了在跨域NWDAF数据分析业务中“联邦学习+机密计算”的可信建模。In response to the enormous data security and privacy risks brought by the acceleration of digital transformation,confidential computing has gradually emerged.Confidential computing is based on trusted execution environments in hardware infrastructure to protect the privacy and integrity of the data-in-use.It first introduces the definition and technical classification of confidential computing,as well as the functional architecture of 5G network data analysis element(NWDAF).It summarizes the challenges faced by the 5G network data analysis function,and then proposes a 5G network data analysis application scenario based on confidential computing,and delves into the trustworthy modeling of"federated learning+confidential computing"in cross domain NWDAF data analysis services.

关 键 词：机密计算 TEE 5G NWDAF 网络数据分析 

分 类 号：TN915[电子电信—通信与信息系统]