A new intrusion detection technology by markov chain

doi:10.1109/AICI.2009.25

CORC > 兰州理工大学 > 兰州理工大学

	A new intrusion detection technology by markov chain
	Cao, Lai-Cheng
	2009
会议日期	November 7, 2009 - November 8, 2009
会议地点	Shanghai, China
关键词	Artificial intelligence Markov processes Packet networks Dynamic load balancing algorithms Experiment analysis False negative rate False positive rates High performance networks Intrusion detection method Intrusion detection technologies Real time performance
卷号	1
DOI	10.1109/AICI.2009.25
页码	296-300
英文摘要	In order to reduce wrong detection intrusions, missed intrusions and poor real-time performance. An intrusion detection method based on markov chain was presented. For every network packet, three major groups of features were extracted, and feature sequence was matched into the state of markov process. Then anomaly activity of network could be detected by constructing markov chain. Moreover, using a dynamic load-balancing algorithm, it could avoid packet loss in high-performance network and process heavy traffic loads in real-time. Experiment analysis proves that this intrusion detection method has relatively low false positive rate and false negative rate. © 2009 IEEE.
会议录	2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116367]
专题	兰州理工大学
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
推荐引用方式 GB/T 7714	Cao, Lai-Cheng. A new intrusion detection technology by markov chain[C]. 见:. Shanghai, China. November 7, 2009 - November 8, 2009.