Study on Intrusion Detection Based on Data Mining
Lei Zhang, Yong Chen, Shaowen Liao · 2018
As an important technology in the field of network and information security, intrusion detection has become an important part of network security system. It analyzes the data collected from key points in the computer system and the network to find out the behavior and the signs of being attacked. Based on the intrusion detection in data mining association rules in the Web application, the application of an anomaly detection model is established, to establish a practical and efficient intrusion detection system to provide technical reference.