Critical information infrastructure security posture forecast

The importance of Critical Information Infrastructure (CII) is getting higher and higher in the current society, and at the same time, it is subject to more and more attacks, so it is crucial to ensure the security of CII. This paper proposes a security posture prediction method for CII based on situational awareness technology to lay the foundation for guaranteeing the security of CII. Firstly, data preprocessing is carried out on the original data to establish the initial feature set of CII security risk; secondly, a feature selection algorithm combining genetic algorithm and cross-validated recursive feature elimination method is used to obtain the optimal feature subset, and the improved entropy weight method is used to calculate the valuation of security posture; finally, the random forest algorithm is used to predict the security posture of CII.