CPS Information Security Risk Evaluation System Based on Petri Net

Abstract

Cyber Physical Systems(CPS) have achieved attention, research and applications from the governments, academic circles, industry circles of domestic and foreign, so, CPS have become an important content of China's two modernizations' deeply integration in future. Using Petri net model to describe CPS information security risk evaluation process. Colligating Petri net model analysis results and CPS information security risk evaluation related big data analysis results, to confirm CPS information security risk evaluation element index system and index weight value, and further by using RBF neural network model construct evaluation model to realize CPS information security risk's quantitative evaluation. The Petri net model constructed in the paper can realize the correlation relation analysis among CPS information security risk evaluation elements, and the description for system risk has the characteristics of temporality, integrity, diversification etc. The constructed index system and its weights have the characteristic of dynamic adaptability with the diversification of CPS information security risk evaluation related big data, that are according with the complexity and dynamic structure of CPS. The paper research has guide function to CPS information security risk evaluation, and has important practical significance and application value.