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Application of clustering analysis in Intrusion Detection

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成果类型:
会议论文
作者:
Zhang, Yifan;Li, Xingshan*;Xu, Min
通讯作者:
Li, Xingshan
作者机构:
[Zhang, Yifan; Xu, Min; Li, Xingshan] Luo He Med Coll, Luohe 462000, Peoples R China.
通讯机构:
[Li, Xingshan] L
Luo He Med Coll, Luohe 462000, Peoples R China.
语种:
英文
关键词:
Cluster;Analysis Techniques;Boundary Detection;Intrusion Detection
期刊:
3RD INTERNATIONAL CONFERENCE ON INTELLIGENT ENERGY AND POWER SYSTEMS (IEPS 2017)
年:
2017
页码:
149-154
会议名称:
3rd International Conference on Intelligent Energy and Power Systems (IEPS)
会议时间:
APR 15-16, 2017
会议地点:
Hangzhou, PEOPLES R CHINA
会议主办单位:
[Zhang, Yifan;Li, Xingshan;Xu, Min] Luo He Med Coll, Luohe 462000, Peoples R China.
主编:
Jacobsen, W Kolkman, P
出版地:
703 KILMAR CRES, OTTAWA, ONTARIO K2T 0B1, CANADA
出版者:
CLAUSIUS SCIENTIFIC PR INC
ISBN:
978-0-9958867-6-6
基金类别:
sponsored by Medical Science Research project of Henan Province (Project No. 201404065)
机构署名:
本校为第一且通讯机构
院系归属:
医学院
摘要:
Clustering technology and boundary point detection technology and its application in intrusion detection system are introduced in this paper from three aspects, which are the application of clustering analysis, boundary detection and clustering analysis in Intrusion Detection System. The data processing and the requirement of clustering algorithm for intrusion detection system are introduced in detail. Analyzed the result of the experiment environment and experiment, further validation of this project is based on the improved NPR...

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