Computer Communication Security Evaluation System Based on Artificial Intelligence

The computer communication security evaluation system is one of the current research hotspots. Through artificial intelligence technologies such as machine learning and deep learning, communication data can be analyzed and processed, thereby improving the guarantee ability of communication security. This study conducted in- depth research on computer communication security evaluation systems based on artificial intelligence, mainly using a combination of literature review and experimental analysis methods to summarize key technologies in feature extraction and selection, neural network models, dataset quality and quantity, etc. This study found that feature extraction and selection are one of the key technologies in computer communication security evaluation systems based on artificial intelligence. The quality and quantity of datasets also had a significant impact on the performance and accuracy of the system. The accuracy, recall, and Fl values of this experiment were 89.75%, 90.75%, and 88.25%, respectively. The computer communication security evaluation system based on artificial intelligence can analyze and process different security events, effectively improving the guarantee ability of communication security.