Diagnosing Network-Wide Traffic Anomalies

Diagnosing Network-Wide Traffic Anomalies (2004)

by Anukool Lakhina , Mark Crovella , Christophe Diot

Venue:	In ACM SIGCOMM
Citations:	184 - 12 self

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Datum	Value	Source
TITLE	Diagnosing Network-Wide Traffic Anomalies	INFERENCE
AUTHOR NAME	Anukool Lakhina	user correction - Legacy Corrections
AUTHOR AFFIL	; Dept. of Computer Science,; Boston University; Categories and Subject Descriptors; General Terms; This work was performed while M. Crovella was at Laboratoire	user correction - Legacy Corrections
AUTHOR ADDR	; d’Informatique de Paris 6 (LIP6), with support from Centre National	user correction - Legacy Corrections
AUTHOR NAME	Mark Crovella	user correction - Legacy Corrections
AUTHOR NAME	Christophe Diot	user correction - Legacy Corrections
ABSTRACT	Anomalies are unusual and significant changes in a network's traffic levels, which can often span multiple links. Diagnosing anomalies is critical for both network operators and end users. It is a difficult problem because one must extract and interpret anomalous patterns from large amounts of high-dimensional, noisy data.	user correction - Legacy Corrections
YEAR	2004	INFERENCE
VENUE	In ACM SIGCOMM	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	219--230	INFERENCE
CITATIONS	23 found	ParsCit 1.0