中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Intrusion detection based on fuzzy neural networks

文献类型:期刊论文

作者An, Ji-yao; Yue, Guangxue; Yu, Fei; Li, Ren-fa
刊名Advances in neural networks - isnn 2006, pt 3, proceedings
出版日期2006
卷号3973页码:231-239
ISSN号0302-9743
通讯作者An, ji-yao(jt_anbob@hnu.cn)
英文摘要A new network intrusion detection system is presented in this paper, the system is skillfully combined with fuzzy technique and neural network which architecture and arithmetic is redesigned. in order to overcome the difficulty of specifying the membership function of rules depending on experiences of experts in multi-dimensional space, fuzzy neural network model is introduced to carry through proper nonlinear division of input/output characteristics of complex system and to generate fuzzy rule sets and added membership relation automatically. the new system architecture adopts the network processor to collect and analyze the data in the low layer of network, and a prototype system is established. this prototype system behaves better ability of intrusion detection and lower rate of distort, and that it has the ability to detect unknown attack.
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
语种英语
WOS记录号WOS:000239485300034
出版者SPRINGER-VERLAG BERLIN
URI标识http://www.irgrid.ac.cn/handle/1471x/2378583
专题中国科学院大学
通讯作者An, Ji-yao
作者单位1.Hunan Univ, Coll Comp & Commun, Changsha 410082, Peoples R China
2.Chinese Acad Sci, Grad Sch, State Key Lab Informat Secur, Beijing 100049, Peoples R China
3.Huaihua Univ, Dept Comp Sci, Huaihua, Peoples R China
推荐引用方式
GB/T 7714
An, Ji-yao,Yue, Guangxue,Yu, Fei,et al. Intrusion detection based on fuzzy neural networks[J]. Advances in neural networks - isnn 2006, pt 3, proceedings,2006,3973:231-239.
APA An, Ji-yao,Yue, Guangxue,Yu, Fei,&Li, Ren-fa.(2006).Intrusion detection based on fuzzy neural networks.Advances in neural networks - isnn 2006, pt 3, proceedings,3973,231-239.
MLA An, Ji-yao,et al."Intrusion detection based on fuzzy neural networks".Advances in neural networks - isnn 2006, pt 3, proceedings 3973(2006):231-239.

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来源:中国科学院大学

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