Network intrusion detection based on system calls and data mining

doi:10.1007/s11704-010-0570-9

	Network intrusion detection based on system calls and data mining
	Tian, Xinguang 1; Cheng, Xueqi 1; Duan, Miyi 1,2; Liao, Rui 2; Chen, Hong 3; Chen, Xiaojuan 4
	2010-12-01
发表期刊	FRONTIERS OF COMPUTER SCIENCE IN CHINA
ISSN	1673-7350
卷号	4 期号:4 页码:522-528
摘要	Anomaly intrusion detection is currently an active research topic in the field of network security. This paper proposes a novel method for detecting anomalous program behavior, which is applicable to host-based intrusion detection systems monitoring system call activities. The method employs data mining techniques to model the normal behavior of a privileged program, and extracts normal system call sequences according to their supports and confidences in the training data. At the detection stage, a fixed-length sequence pattern matching algorithm is utilized to perform the comparison of the current behavior and historic normal behavior, which is less computationally expensive than the variable-length pattern matching algorithm proposed by Hofmeyr et al. At the detection stage, the temporal correlation of the audit data is taken into account, and two alternative schemes could be used to distinguish between normalities and intrusions. The method gives attention to both computational efficiency and detection accuracy, and is especially suitable for online detection. It has been applied to practical hosted-based intrusion detection systems, and has achieved high detection performance.
关键词	intrusion detection data mining system call anomaly detection
DOI	10.1007/s11704-010-0570-9
收录类别	SCI
语种	英语
资助项目	National High-Technology Research and Development Program of China[2006AA01Z452] ; National Information Security 242 Program of China[2005C39]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000292505400012
出版者	HIGHER EDUCATION PRESS
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/12170
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tian, Xinguang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China 2.Beijing Jiaotong Univ, Inst Comp Technol, Beijing 100029, Peoples R China 3.Zhengzhou Informat Sci & Technol Inst, Zhengzhou 450004, Peoples R China 4.Beijing Technol & Business Univ, Coll Comp & Informat Engn, Beijing 100037, Peoples R China
推荐引用方式 GB/T 7714	Tian, Xinguang,Cheng, Xueqi,Duan, Miyi,et al. Network intrusion detection based on system calls and data mining[J]. FRONTIERS OF COMPUTER SCIENCE IN CHINA,2010,4(4):522-528.
APA	Tian, Xinguang,Cheng, Xueqi,Duan, Miyi,Liao, Rui,Chen, Hong,&Chen, Xiaojuan.(2010).Network intrusion detection based on system calls and data mining.FRONTIERS OF COMPUTER SCIENCE IN CHINA,4(4),522-528.
MLA	Tian, Xinguang,et al."Network intrusion detection based on system calls and data mining".FRONTIERS OF COMPUTER SCIENCE IN CHINA 4.4(2010):522-528.