Research on Logic Monitoring Method for Cloud Computing Based Safety Computer

With the development of railway construction in China, the computing demand of train control system is increasing day by day. The application of cloud computing technology to 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 cloud computing environment is the key problem to apply cloud computing to train operation control system. As the cloud platform is in an open network environment, facing many security vulnerabilities and malicious network attacks, so it is necessary to monitor the operation of computer programs through edge safety nodes. Firstly, this paper encrypts the logical monitoring method, and then proposes a secure computer defense model based on dynamic heterogeneous redundancy structure. Then 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 analyzed. 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.