Enhancing Efficiency of Intrusion Prediction Based on Intelligent Immune Method

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	Enhancing Efficiency of Intrusion Prediction Based on Intelligent Immune Method
	Cao, Lai-Cheng
	2010
关键词	Intrusion prediction false alarm rate false negative rate intelligent immune threshold matching algorithm
卷号	6216
页码	599-606
英文摘要	In order to find the attack in real time, an intrusion prediction method based on intelligent immune threshold matching algorithm was presented. Using a dynamic load-balancing algorithm, network data packet was distributed to a set of predictors by the balancer; it could avoid packet loss and false negatives in high-performance network with handling heavy traffic loads in real-time. In addition, adopting the dynamic threshold value, which was generated from variable network speed, the mature antibody could better match the antigen of the database, and consequently the accuracy of prediction was increased. Experiment shows this intrusion prediction method has relatively low false positive rate and false negative rate, so it effectively resolves the shortage of intrusion detection.
会议录	ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE
会议录出版者	SPRINGER-VERLAG BERLIN
会议录出版地	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语
WOS研究方向	Computer Science
WOS记录号	WOS:000286799300074
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37707]
专题	兰州理工大学
通讯作者	Cao, Lai-Cheng
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Cao, Lai-Cheng. Enhancing Efficiency of Intrusion Prediction Based on Intelligent Immune Method[C]. 见:.