A New Network Intrusion Detection Method Based on Average Membership
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.
intrusion membership degree subset degree system call
Ping Gen-jian Dang Liu-qun
Modern Management Department, Zhengzhou Technical College, Zhengzhou 450121, China College of Computer &lnformation Technology Henan Normal University, Xinxiang 453007, China
国际会议
太原
英文
304-306
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)