Title :
A Data Fusion Based Intrusion Detection Model
Author :
Zhao, Xiaofeng ; Jiang, Hua ; Jiao, Liyan
Author_Institution :
Dept. of Inf. Manage., Hebei Univ. of Eng., Handan
Abstract :
The diversification and intelligent of hackerspsila 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 ldquofusedrdquo in this system, so that it has lower false negatives rate and false positive rate as well as better scalabilities and robust.
Keywords :
security of data; sensor fusion; computer information security protection system; data fusion; data fusion theory; intrusion detection model; network system; Computer security; Data mining; Data security; Decision making; Fuses; Information security; Intrusion detection; Layout; Protection; Support vector machines; D-S theory; data fusion; intrusion detection;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.232
