A Data Fusion Based Intrusion Detection Model
Xiaofeng Zhao, Hua Jiang, Liyan Jiao · 2009
The diversification and intelligent of hackers’ attacks makes it hard for single intrusion detection measure to attain favorable detection result. Therefore, it becomes one of the new hot spots in current research that how to combine multiple security measures to provide the network system more effective protection. A new computer information security protection system based on data fusion theory is proposed in this paper. Multiple detection measures are “fused” in this system, so that it has lower false negatives rate and false positive rate as well as better scalabilities and robust.