Title :
A new network Intrusion Detection Method Based on Average Membership
Author :
Gen-Jian, Ping ; Liu-Qun, Dang
Author_Institution :
Modern Manage. Dept., Zhengzhou Tech. Coll., Zhengzhou, China
Abstract :
Aiming at the shortages of traditional intrusion method, this paper presents a new kind of method for network intrusion detection-AMID (Intrusion Detection Based on Average Membership), and its algorithm. By measuring the close degree between the real-time behavior and normal behavior, the proposed method judges if there are intrusions. The experimental results show that the proposed method has considerable improvement in decreasing the false positive rate.
Keywords :
computer network security; average membership; network intrusion detection method; normal behavior; real-time behavior; intrusion; membership degree; subset degree; system call;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622105
