DocumentCode
532636
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
Volume
15
fYear
2010
fDate
22-24 Oct. 2010
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCASM.2010.5622105
Filename
5622105
Link To Document