铁道运输与经济2024，Vol.46Issue(4)：58-67,10.DOI:10.16668/j.cnki.issn.1003-1421.2024.04.08
基于联邦学习和多方安全计算的海铁联运数据安全共享方法研究
Research on Secure Data Sharing Methods for Sea-rail Intermodal Transportation Based on Federated Learning and Multi-Party Secure Computation
摘要
Abstract
Sea-rail intermodal transportation in China still accounts for a low percentage of port throughput,and one of the key reasons is the lack of dynamic information regarding suitable cargo sources from ports and ineffective marketing organization by the railway.The railway freight marketing department lacks technological methods of proactively exploring potential suitable cargo sources from port and customs data dynamically according to railway capacity,while ensuring the privacy and security of data among the port,railway,and customs.This hampers the development of suitable transportation products and dynamic marketing strategies.Consequently,it becomes challenging to provide effective decision-making support for the construction of sea-rail intermodal transportation infrastructure.This paper constructed a secure data-sharing method among railways,ports,and customs based on federated learning and multi-party secure computation.The paper utilized gradient boosting decision trees,combined with multi-party secure computation techniques such as homomorphic encryption as the model training algorithm.The collaborative effort among the railway,port,and customs with equal status was used to train a strategy for identifying potential cargo sources of sea-rail intermodal transportation.During the formal implementation of this strategy,the railway can gain insights into the volume of potential suitable cargo sources along various routes within the network,while ensuring that each party does not have visibility or access to the raw data of other participants.关键词
海铁联运/多方安全计算/联邦学习/同态加密/梯度提升决策树Key words
Sea-rail Intermodal Transportation/Multi-Party Secure Computation/Federated Learning/Homomorphic Encryption/Gradient Boosting Decision Tree分类
交通工程引用本文复制引用
黄磊,易文姣,王英,姜德友..基于联邦学习和多方安全计算的海铁联运数据安全共享方法研究[J].铁道运输与经济,2024,46(4):58-67,10.基金项目
国家自然科学基金项目(52172311) （52172311）
中国国家铁路集团有限公司科技研究开发计划课题(K2022W003) （K2022W003）
