Comprehensive Information Security Risk Assessment Model for Transportation Industry

Abstract

In the context of the new round of technological revolution and industrial change, information technology and transportation are deeply integrated, the level of informatization in the industry is continuously improved, and the information security risk problem needs to be dealt with effectively. In order to improve the accuracy and assessment efficiency of information security risk assessment in transportation industry, this paper constructs a multi-level risk assessment index system, combines entropy weight method, TOPSIS assessment method and BP neural network to determine the weight of influencing factors and predict risk values, also proposes a comprehensive information security risk assessment model for transportation industry. The simulation results show that the prediction accuracy of the comprehensive assessment model of information security risk in transportation industry is high, and it can evaluate the risk factors in the information system of transportation industry scientifically and reasonably, and has good practicality.