Abstract

With the introduction of emerging technologies such as cloud computing, the railway communication network has the characteristics of complex structure and blurred boundaries, which leads to a series of security threats including information leakage and malicious access. Specifically, the third-party cloud services are difficult to be supervised, and network traffic is untrustworthy. To ensure system security, we propose a zero-trust security model in this paper. Then, we introduce blockchain and Merkle tree to build a distributed identity storage scheme for guaranteeing reliable, confidential and efficient data updates, and improving authentication efficiency. Furthermore, the proxy was introduced for two-way authentication with cloud servers, so that internal and external threats could be counteracted. Moreover, reputation assessment mechanism has been adopted to reduce the possibility of nodes accessing malicious cloud services. Performance analysis demonstrated that the proposed security model is able to enhance the security, efficiency and stability of the system, and consequently can guarantee the safety and reliability of railway transportation.

Details

Title
Blockchain enabled zero trust based authentication scheme for railway communication networks
Author
Feng, Yuan 1 ; Zhong, Zhangdui 2 ; Sun, Xiaofang 3 ; Wang, Lei 4 ; Lu, Yunlong 5 ; Zhu, Yongsheng 6 

 Collaborative Innovation Center of Railway Traffic Safety, Beijing, China; Beijing Jiaotong University, State Key Lab of Rail Traffic Control & Safety, Beijing, China (GRID:grid.181531.f) (ISNI:0000 0004 1789 9622) 
 Collaborative Innovation Center of Railway Traffic Safety, Beijing, China (GRID:grid.181531.f); Beijing Jiaotong University, State Key Lab of Rail Traffic Control & Safety, Beijing, China (GRID:grid.181531.f) (ISNI:0000 0004 1789 9622) 
 Collaborative Innovation Center of Railway Traffic Safety, Beijing, China (GRID:grid.181531.f); Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China (GRID:grid.181531.f) (ISNI:0000 0004 1789 9622) 
 Industrial and Commercial Bank of China Shandong Branch, Ji Nan, China (GRID:grid.510361.0) 
 Collaborative Innovation Center of Railway Traffic Safety, Beijing, China (GRID:grid.510361.0); Beijing Jiaotong University, State Key Lab of Rail Traffic Control & Safety, Beijing, China (GRID:grid.181531.f) (ISNI:0000 0004 1789 9622) 
 China Academy of Railway Sciences Corporation Limited, Institute of Computing Technologies, Beijing, China (GRID:grid.464214.1) (ISNI:0000 0001 1860 7263) 
Pages
62
Publication year
2023
Publication date
Dec 2023
Publisher
Springer Nature B.V.
e-ISSN
2192113X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2804866249
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.