Research on anti-attack of private cloud safety computer based on Markov-Percopy dynamic heterogeneous redundancy structure

Abstract

Abstract With the increasing computing demand of train operation control system, the application of cloud computing technology to train control system safety computer platform has become a research hotspot in recent years. How to improve the safety and availability of private cloud safety computer is the key problem to apply cloud computing to train operation control system. Because the cloud computing platform is in an open network environment, it faces many security loopholes and malicious network attacks. Therefore, it is necessary to change the existing safety computer platform structure to improve the attack resistance of the private cloud safety computer platform, thereby enhancing its safety and reliability. Firstly, a private cloud safety computer platform architecture based on dynamic heterogeneous redundant(DHR) structure is proposed, and a dynamic migration mechanism for heterogeneous executives is designed in this paper. Then, a generalized stochastic Petri net (GSPN) model of a private cloud safety computer platform based on DHR is established, and its steady-state probability is solved by using its isomorphism with the continuous-time Markov model (CTMC). To analyze the impact of different system structures and executive migration mechanisms on the system's anti-attack performance. Finally, through the experimental verification, the system structure proposed in this paper can improve the anti-attack of the private cloud safety computer platform, thereby improving its safety and reliability.