实现互联互通的铁路隐私计算平台研究  

Research on Constructing an Interoperable Railway Privacy-preserving Computing Platform

作　　者：赵亮 蔡海宁 彭军 范国清 胡玉龙 ZHAO Liang;CAI Haining;PENG Jun;FAN Guoqing;HU Yulong(China Railway Qinghai-Tibet Group Co.,Ltd,Xining,810006,China;Big Data Academy,Zhongke,450000,China)

机构地区：[1]中国铁路青藏集团有限公司,西宁810006 [2]中科大数据研究院,郑州450000

出　　处：《移动信息》2025年第4期171-174,共4页Mobile Information

摘　　要：隐私计算已成为解决多方数据主体在数据共享中的数据隐私保护问题的关键手段。目前各个数据厂商建立了异构的隐私计算体系,相互之间互不兼容,数据孤岛问题演变为计算孤岛。为了解决这个问题,文中探讨了实现互联互通的隐私计算架构体系。首先,介绍了行业内对互联互通隐私计算分层要求,然后结合铁路大数据平台和数据中心,提出了实现互联互通的铁路隐私计算平台。最后,结合现代化铁路需求,探讨了互联互通隐私计算平台的应用场景。构建互联互通的铁路隐私计算体系旨在高效利用并挖掘数据价值,增强数据安全性和隐私性,为提升铁路行业服务质量提供更多支持。Privacy-preserving computation has emerged as a pivotal technology for addressing the challenge of data privacy protection in data sharing among multiple stakeholders.Currently,various data vendors have established heterogeneous privacy-preserving computing systems that are mutually incompatible,leading to the issue of“computational silos”in addition to“data silos”.To address this challenge,this paper explores the architecture of an interoperable privacy-preserving computing system.It first reviews the industry requirements for layered interoperable privacy-preserving computation and then proposes an interoperable railway privacy-preserving computing platform in the context of railway big data platforms and data centers.Finally,considering the demands of modern railways,the paper discusses potential application scenarios for the interoperable privacy-preserving computing platform.The construction of an interoperable railway privacy-preserving computing ecosystem aims to efficiently utilize and mine data value,enhance data security and privacy,and provide additional support for improving the service quality of the railway industry.

关 键 词：隐私计算 跨平台互联 铁路服务 数据安全 数据共享 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]