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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Main Authors: QIAN Ye-kui1, CHEN Ming1, HAO Qiang2, LIU Feng-rong2, SHANG Wen-zhong2
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
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