A Network IDS Model Based on Improved Artificial Immune Algorithm

doi:10.1109/ICITBS.2016.82

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	A Network IDS Model Based on Improved Artificial Immune Algorithm
	Tang, Hong
	2017
会议录名称	2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS)
页码	46-50
会议名称	International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
会议日期	DEC 17-18, 2016
会议地点	Changsha, PEOPLES R CHINA
出版地	NEW YORK
出版者	IEEE
摘要	The network intrusion detection problem domain is described with mathematical knowledge in this paper, and a novel IDS detection model based on immune mechanism is designed. We study the key modules of IDS system, detector tolerance module and the algorithms of IDS detection intensively. Then, the continuous bit matching algorithm for computing affinity is improved by further analysis. At the same time, we adopt controllable variation and random variation, as well as dynamic demotion to improve the dynamic clonal selection algorithm. Finally the experimental simulations verify that the novel artificial immune algorithm has better detection rate and lower noise factor.
关键词	IDS autologous immune system clone
DOI	10.1109/ICITBS.2016.82
收录类别	CPCI-S
语种	英语
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Telecommunications
WOS记录号	WOS:000427175000012
原始文献类型	Proceedings Paper
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/4073
专题	重庆电子科技职业大学
作者单位	Chongqing Vocat Inst Engn, Chongqing 402260, Peoples R China
推荐引用方式 GB/T 7714	Tang, Hong. A Network IDS Model Based on Improved Artificial Immune Algorithm[C]. NEW YORK:IEEE,2017:46-50.

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