Research on Network Security Situation Prediction Method Based on Improved Harmony Search Algorithm
With the rapid development of Internet,the problem of Network Security is becoming more and more serious. Therefore,an Improved Harmony Search-based Network Security Situation Prediction (IHS-NSSP) method is proposed. The performance of the algorithm is optimized by introducing the adaptive parameter adjustment strategy and the diversity-driven memory update mechanism. Combining algorithm optimization,feature selection and dimensionality reduction,and ensemble learning techniques,IHS-NSSP can significantly improve the accuracy and efficiency of network security situation prediction.