Parallel optimization technology for backbone network intrusion detection system

	Parallel optimization technology for backbone network intrusion detection system
	Sun, XJ; Zhou, XL; Sun, NH; Chen, MY
	2005
发表期刊	COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 2, PROCEEDINGS
ISSN	0302-9743
卷号	3802 页码:322-327
摘要	Network intrusion detection system (NIDS) is an active field of research. With the rapidly increasing network speed, the capability of the NIDS sensors limits the ability of the system. The problem is more serious for the backbone network intrusion detection system (BNIDS). In this paper, we apply parallel optimization technologies to BNIDS using 4-way SMP server as the target system. After analyzing and testing the defects of the existed system in common use, the optimization policies of using fine-grained schedule mechanism at connection level and avoiding lock operations in thread synchronization are issued for the improved system. Through performance evaluation, the improved system shows more than 25 percent improvement in CPU utilization rate compared with the existed system, and good scalability.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号	WOS:000234874900048
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10030
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Sun, XJ
作者单位	Chinese Acad Sci, Inst Comp Technol, Natl Res Ctr Intelligent Comp Syst, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Sun, XJ,Zhou, XL,Sun, NH,et al. Parallel optimization technology for backbone network intrusion detection system[J]. COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 2, PROCEEDINGS,2005,3802:322-327.
APA	Sun, XJ,Zhou, XL,Sun, NH,&Chen, MY.(2005).Parallel optimization technology for backbone network intrusion detection system.COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 2, PROCEEDINGS,3802,322-327.
MLA	Sun, XJ,et al."Parallel optimization technology for backbone network intrusion detection system".COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 2, PROCEEDINGS 3802(2005):322-327.