Research on Website Attack Behavior Detection Technology Based on Machine Learning Models
Xian Ou, Jie Tian · 2024
The behavior of network attacks is becoming increasingly serious, and website attack behavior detection is of great significance for protecting the network from malicious attacks. This article uses machine learning models to create a traffic detection module that intercepts illegal traffic requests such as SQL injection and cross site scripting attacks, improving network security and ensuring the stable operation of information systems.