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Classifying internet one-way traffic

Authors:

Eduard Glatz,

Xenofontas DimitropoulosAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 40, Issue 1

Pages 417 - 418

https://doi.org/10.1145/2318857.2254821

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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Liu JZheng CGuo LLiu XLu Q(2018)Understanding the Network Traffic Constraints for Deep Packet Inspection by Passive Measurement2018 3rd International Conference on Information Systems Engineering (ICISE)10.1109/ICISE.2018.00013(26-32)Online publication date: May-2018
https://doi.org/10.1109/ICISE.2018.00013
Liu JZheng CGuo LLiu XLu Q(2018)Evaluating routing asymmetry by passive flow measurements with spark2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)10.1109/ICCCBDA.2018.8386552(414-419)Online publication date: Apr-2018
https://doi.org/10.1109/ICCCBDA.2018.8386552
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
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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

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

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

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 June 2012

Published in SIGMETRICS Volume 40, Issue 1

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Cited By

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Liu JZheng CGuo LLiu XLu Q(2018)Understanding the Network Traffic Constraints for Deep Packet Inspection by Passive Measurement2018 3rd International Conference on Information Systems Engineering (ICISE)10.1109/ICISE.2018.00013(26-32)Online publication date: May-2018
https://doi.org/10.1109/ICISE.2018.00013
Liu JZheng CGuo LLiu XLu Q(2018)Evaluating routing asymmetry by passive flow measurements with spark2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)10.1109/ICCCBDA.2018.8386552(414-419)Online publication date: Apr-2018
https://doi.org/10.1109/ICCCBDA.2018.8386552
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
Binfeng Wang Jun Zhang Zili Zhang Wei Luo Dawen Xia (2015)Robust Traffic Classification with Mislabelled Training SamplesProceedings of the 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS.2015.49(328-335)Online publication date: 14-Dec-2015
https://dl.acm.org/doi/10.1109/ICPADS.2015.49
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
Zhang JChen CXiang YZhou WChen KXie QQiu WLi NTzeng W(2013)Robust network traffic identification with unknown applicationsProceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security10.1145/2484313.2484366(405-414)Online publication date: 8-May-2013
https://dl.acm.org/doi/10.1145/2484313.2484366
Zhang JChen XXiang YZhou W(2013)Zero-Day Traffic IdentificationCyberspace Safety and Security10.1007/978-3-319-03584-0_16(213-227)Online publication date: 13-Nov-2013
https://dl.acm.org/doi/10.1007/978-3-319-03584-0_16
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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