ODC: a method for online detecting & classifying network-wide traffic anomalies
A method for online detecting & classifying traffic anomalies(ODC for short) from a network-wide angle of view was put forward.This method constructed traffic matrix with a metric of traffic feature entropy incrementally,de-tected traffic anomalies online using incremental principal component analys...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/74417851/ |
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author | QIAN Ye-kui1 CHEN Ming1 HAO Qiang2 LIU Feng-rong2 SHANG Wen-zhong2 |
author_facet | QIAN Ye-kui1 CHEN Ming1 HAO Qiang2 LIU Feng-rong2 SHANG Wen-zhong2 |
author_sort | QIAN Ye-kui1 |
collection | DOAJ |
description | A method for online detecting & classifying traffic anomalies(ODC for short) from a network-wide angle of view was put forward.This method constructed traffic matrix with a metric of traffic feature entropy incrementally,de-tected traffic anomalies online using incremental principal component analysis,and then classified traffic anomalies online using incremental k-means,from which network operators could benefit for taking corresponding countermeasures.Theoretical analysis and experiment analysis show that the method has lower storage and less computing time complexity,which could satisfy the requirements of real-time process.Analysis based on both measurement data from Abilene and simulation experiments demonstrate that the method has very good detection and classification performance. |
format | Article |
id | doaj-art-c67cfa5362e5476bb541b11af9bd7a3d |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2011-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-c67cfa5362e5476bb541b11af9bd7a3d2025-01-14T08:22:35ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013211112074417851ODC: a method for online detecting & classifying network-wide traffic anomaliesQIAN Ye-kui1CHEN Ming1HAO Qiang2LIU Feng-rong2SHANG Wen-zhong2A method for online detecting & classifying traffic anomalies(ODC for short) from a network-wide angle of view was put forward.This method constructed traffic matrix with a metric of traffic feature entropy incrementally,de-tected traffic anomalies online using incremental principal component analysis,and then classified traffic anomalies online using incremental k-means,from which network operators could benefit for taking corresponding countermeasures.Theoretical analysis and experiment analysis show that the method has lower storage and less computing time complexity,which could satisfy the requirements of real-time process.Analysis based on both measurement data from Abilene and simulation experiments demonstrate that the method has very good detection and classification performance.http://www.joconline.com.cn/zh/article/74417851/traffic anomalyonline detectiononline classificationincremental PCAincremental clustering |
spellingShingle | QIAN Ye-kui1 CHEN Ming1 HAO Qiang2 LIU Feng-rong2 SHANG Wen-zhong2 ODC: a method for online detecting & classifying network-wide traffic anomalies Tongxin xuebao traffic anomaly online detection online classification incremental PCA incremental clustering |
title | ODC: a method for online detecting & classifying network-wide traffic anomalies |
title_full | ODC: a method for online detecting & classifying network-wide traffic anomalies |
title_fullStr | ODC: a method for online detecting & classifying network-wide traffic anomalies |
title_full_unstemmed | ODC: a method for online detecting & classifying network-wide traffic anomalies |
title_short | ODC: a method for online detecting & classifying network-wide traffic anomalies |
title_sort | odc a method for online detecting classifying network wide traffic anomalies |
topic | traffic anomaly online detection online classification incremental PCA incremental clustering |
url | http://www.joconline.com.cn/zh/article/74417851/ |
work_keys_str_mv | AT qianyekui1 odcamethodforonlinedetectingclassifyingnetworkwidetrafficanomalies AT chenming1 odcamethodforonlinedetectingclassifyingnetworkwidetrafficanomalies AT haoqiang2 odcamethodforonlinedetectingclassifyingnetworkwidetrafficanomalies AT liufengrong2 odcamethodforonlinedetectingclassifyingnetworkwidetrafficanomalies AT shangwenzhong2 odcamethodforonlinedetectingclassifyingnetworkwidetrafficanomalies |