Design of an anomaly detection model based on Fisher-discriminance
Cai Jian · Jisuanji gongcheng · 2004
With the growth of the Internet, events of intrusion become more and more usual, which does serious harm to information resources. To prevent these malicious behaviors, one of the important measures is the intrusion detection technique. In recent years, anomaly detection - an important branch of intrusion detection is a highlighted topic in the studies of the network security. Based on the Fisher-discriminance, a statistical theory, a novel anomaly detection model, which, compared with other anomaly detection models, would improve apparently the performance in real-time and accuracy was presented. Also, the complexity in the design of intrusion detection system would be simplified when this model was employed.