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Classifying internet one-way traffic

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Xenofontas DimitropoulosAuthors Info & Claims

SIGMETRICS '12: Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems

Pages 417 - 418

https://doi.org/10.1145/2254756.2254821

Published: 11 June 2012 Publication History

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Abstract

In this work we analyze a massive data-set that captures 5.23 petabytes of traffic to shed light into the composition of one-way traffic towards a large network based on a novel one-way traffic classifier. We find that one-way traffic makes a very large fraction of all traffic in terms of flows, it can be primarily attributed to malicious causes, and it has declined since 2004 because of relative decrease of scan traffic. In addition, we show how our classifier is useful for detecting network outages.

Reference

[1]

J. Jung, V. Paxson, A. Berger, and H. Balakrishnan. Fast portscan detection using sequential hypothesis testing. In Proceedings of the IEEE Symposium on Security and Privacy, pages 211--225, 2004.

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Torabi SBou-Harb EAssi CKarbab EBoukhtouta ADebbabi M(2020)Inferring and Investigating IoT-Generated Scanning Campaigns Targeting A Large Network TelescopeIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2020.2979183(1-1)Online publication date: 2020
https://doi.org/10.1109/TDSC.2020.2979183
Zhang JChen XXiang YZhou WWu J(2015)Robust network traffic classificationIEEE/ACM Transactions on Networking10.1109/TNET.2014.232057723:4(1257-1270)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1109/TNET.2014.2320577
Drago IHofstede RSadre RSperotto APras A(2015)Measuring Cloud Service Health Using NetFlow/IPFIXJournal of Network and Systems Management10.1007/s10922-013-9278-023:1(58-88)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1007/s10922-013-9278-0
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Index Terms

Classifying internet one-way traffic
1. Networks
  1. Network services
    1. Network monitoring

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Information & Contributors

Information

Published In

SIGMETRICS '12: Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems

June 2012

450 pages

ISBN:9781450310970

DOI:10.1145/2254756

General Chair:
Peter Harrison
Imperial College London, United Kingdom
,
Program Chairs:
Martin Arlitt
HP Labs, USA and University of Calgary, Canada
,
Giuliano Casale
Imperial College London, United Kingdom

ACM SIGMETRICS Performance Evaluation Review Volume 40, Issue 1
Performance evaluation review
June 2012
433 pages
ISSN:0163-5999
DOI:10.1145/2318857
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 June 2012

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SIGMETRICS '12

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SIGMETRICS
IFIP

SIGMETRICS '12: ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems

June 11 - 15, 2012

London, England, UK

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Overall Acceptance Rate 459 of 2,691 submissions, 17%

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Cited By

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Torabi SBou-Harb EAssi CKarbab EBoukhtouta ADebbabi M(2020)Inferring and Investigating IoT-Generated Scanning Campaigns Targeting A Large Network TelescopeIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2020.2979183(1-1)Online publication date: 2020
https://doi.org/10.1109/TDSC.2020.2979183
Zhang JChen XXiang YZhou WWu J(2015)Robust network traffic classificationIEEE/ACM Transactions on Networking10.1109/TNET.2014.232057723:4(1257-1270)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1109/TNET.2014.2320577
Drago IHofstede RSadre RSperotto APras A(2015)Measuring Cloud Service Health Using NetFlow/IPFIXJournal of Network and Systems Management10.1007/s10922-013-9278-023:1(58-88)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1007/s10922-013-9278-0
Yang LHu GLi DWang YJia BPan Z(2015)Anomaly detection based on efficient Euclidean projectionSecurity and Communication Networks10.1002/sec.12478:17(3229-3237)Online publication date: 25-Nov-2015
https://dl.acm.org/doi/10.1002/sec.1247
Mazel JCasas PFontugne RFukuda KOwezarski P(2015)Hunting attacks in the darkNetworks10.1002/nem.190325:5(283-305)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1002/nem.1903
Dainotti ASquarcella CAben EClaffy KChiesa MRusso MPescapé A(2014)Analysis of country-wide internet outages caused by censorshipIEEE/ACM Transactions on Networking10.1109/TNET.2013.229124422:6(1964-1977)Online publication date: 1-Dec-2014
https://dl.acm.org/doi/10.1109/TNET.2013.2291244
Liu JFukuda K(2014)Towards a taxonomy of darknet traffic2014 International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2014.6906329(37-43)Online publication date: Aug-2014
https://doi.org/10.1109/IWCMC.2014.6906329
Mazel JFontugne RFukuda K(2014)A taxonomy of anomalies in backbone network traffic2014 International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2014.6906328(30-36)Online publication date: Aug-2014
https://doi.org/10.1109/IWCMC.2014.6906328
Czyz JLady KMiller SBailey MKallitsis MKarir MPapagiannaki KGummadi KPartridge C(2013)Understanding IPv6 internet background radiationProceedings of the 2013 conference on Internet measurement conference10.1145/2504730.2504732(105-118)Online publication date: 23-Oct-2013
https://dl.acm.org/doi/10.1145/2504730.2504732
Zhan ZXu MXu S(2013)Characterizing Honeypot-Captured Cyber AttacksIEEE Transactions on Information Forensics and Security10.1109/TIFS.2013.22798008:11(1775-1789)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1109/TIFS.2013.2279800
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