Network latency clustering for detector placement on macroscopical prewarning

Research on the network-based and distributed intrusion detection was aroused by the burst-outs of large-scale security events.How to place detection instruments was the key to the detections.The problem of detector placement was turned to that of the clustering of topology graph.A novel bidirection...

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Main Authors: HE Hui, HU Ming-zeng, YUN Xiao-chun, ZHANG Hong-li
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2006-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74665596/
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author HE Hui
HU Ming-zeng
YUN Xiao-chun
ZHANG Hong-li
author_facet HE Hui
HU Ming-zeng
YUN Xiao-chun
ZHANG Hong-li
author_sort HE Hui
collection DOAJ
description Research on the network-based and distributed intrusion detection was aroused by the burst-outs of large-scale security events.How to place detection instruments was the key to the detections.The problem of detector placement was turned to that of the clustering of topology graph.A novel bidirectional hierarchical clustering algorithm was put forward,which decreased the amount of result clusters by integration of initial marker selection method based on node out-degree.The simulation results demonstrates that our clustering approaches effectively identify clusters and been employed in the measured real network of the backbone.
format Article
id doaj-art-b0eb97f6077f41ca89d6abb6fa4bbea7
institution Kabale University
issn 1000-436X
language zho
publishDate 2006-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b0eb97f6077f41ca89d6abb6fa4bbea72025-01-14T08:39:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-0111912474665596Network latency clustering for detector placement on macroscopical prewarningHE HuiHU Ming-zengYUN Xiao-chunZHANG Hong-liResearch on the network-based and distributed intrusion detection was aroused by the burst-outs of large-scale security events.How to place detection instruments was the key to the detections.The problem of detector placement was turned to that of the clustering of topology graph.A novel bidirectional hierarchical clustering algorithm was put forward,which decreased the amount of result clusters by integration of initial marker selection method based on node out-degree.The simulation results demonstrates that our clustering approaches effectively identify clusters and been employed in the measured real network of the backbone.http://www.joconline.com.cn/zh/article/74665596/distributed intrusionmacroscopically prewarningdetector placementhierarchical clustering
spellingShingle HE Hui
HU Ming-zeng
YUN Xiao-chun
ZHANG Hong-li
Network latency clustering for detector placement on macroscopical prewarning
Tongxin xuebao
distributed intrusion
macroscopically prewarning
detector placement
hierarchical clustering
title Network latency clustering for detector placement on macroscopical prewarning
title_full Network latency clustering for detector placement on macroscopical prewarning
title_fullStr Network latency clustering for detector placement on macroscopical prewarning
title_full_unstemmed Network latency clustering for detector placement on macroscopical prewarning
title_short Network latency clustering for detector placement on macroscopical prewarning
title_sort network latency clustering for detector placement on macroscopical prewarning
topic distributed intrusion
macroscopically prewarning
detector placement
hierarchical clustering
url http://www.joconline.com.cn/zh/article/74665596/
work_keys_str_mv AT hehui networklatencyclusteringfordetectorplacementonmacroscopicalprewarning
AT humingzeng networklatencyclusteringfordetectorplacementonmacroscopicalprewarning
AT yunxiaochun networklatencyclusteringfordetectorplacementonmacroscopicalprewarning
AT zhanghongli networklatencyclusteringfordetectorplacementonmacroscopicalprewarning