Research on Network Situational Awareness Prediction Techniques Combined with FA-ELM

The importance of cybersecurity situational awareness cannot be overemphasized in the modern information society, as it enables organizations to detect and respond to potential threats in a timely manner. This study combines the Firefly algorithm with an extreme learning machine to improve the accuracy and efficiency of predictive models in this domain. Initially, the firefly algorithm optimizes the parameters of the extreme learning machine. Subsequently, the extreme learning machine improved by the Firefly algorithm shows excellent performance in the field of cybersecurity situational awareness. It outperforms traditional machine learning methods in terms of prediction accuracy and adaptability. Therefore, this optimized extreme learning machine provides a feasible strategy for improving cybersecurity situational awareness with great practical benefits. There is much room for further exploration in parameter selection and model integration of the optimization method.