Exploring Automated Defense Technology of Artificial Intelligence in Network Security

How to address the increasing number of network security threats and attacks? Traditional manual defense methods are no longer able to cope with them. This article provides an overview of the automated defense technology of artificial intelligence (AI) in network security. This article introduces the application fields of AI in network security, including intrusion detection and prevention, malicious code detection, and network traffic analysis. Then, a Support Vector Machine (SVM) model is proposed to achieve automated defense of network security. SVM divides traffic into normal and malicious based on the characteristics of network traffic, thereby achieving intrusion detection and identification of abnormal behavior. After experimental testing, the attack detection rate of the method in this article is between 94% -99%, which can effectively detect malicious attacks.