Research on the logic monitoring method for the cloud computing based safety computer. Issue 2 (21st December 2022)

• Record Type: Journal Article
• Authors: Yang, Yaran; Ma, Lianchuan; Tang, Tao; Ding, Huan; Liu, Zhen
• Is Part Of: Transportation safety and environment. Volume 5:Issue 2(2023)
• Publication Date: 2022-12-21
• Subjects: safety computer -- logical monitoring method -- continuous time Markov modelling (CTMC) -- cloud computing -- anti-aggression analysis; Transportation engineering -- Periodicals; Transportation -- Safety measures -- Periodicals; 629.04
• DOI: 10.1093/tse/tdac052
• Languages: English
• ISSNs: 2631-4428

Abstract

Abstract: With the development of railway construction in China, the computing demand of the train control system is increasing day by day. The application of cloud computing technology on the rail transit signal system has become a research hotspot in recent years. How to improve the safety and availability of the safety computer platform in the cloud computing environment is the key problem when applying cloud computing to the train operation control system. Since the cloud platform is in an open network environment, facing many security vulnerabilities and malicious network attacks, it is necessary to monitor the operation of computer programmes through edge safety nodes. Firstly, this paper encrypts the logical monitoring method, and then proposes a secure computer defence model based on the dynamic heterogeneous redundancy structure. Then the continuous time Markov chain (CTMC) is used to quantitatively solve the stable probability of the system, and the influence of different logical monitoring methods on the anti-attack performance of the system is analysed. Finally, the experiment proves that the dynamic heterogeneous redundancy structure composed of encryption logic monitoring can guarantee the safe and stable operation of the safety computer more effectively.