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FleXam: flexible sampling extension for monitoring and security applications in openflow

Authors:

Sajad Shirali-Shahreza and

Yashar GanjaliAuthors Info & Claims

HotSDN '13: Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking

August 2013

Pages 167 - 168

https://doi.org/10.1145/2491185.2491215

Published: 16 August 2013 Publication History

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Abstract

No abstract available.

References

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Mehdi, S.A., Khalid, J., and Khayam, S.A. 2011. Revisiting traffic anomaly detection using software defined networking. In RAID'11. 161--180.

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Cited By

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Risdianto AUsman MRathore M(2024)Transforming Network Management: Intent-Based Flexible Control Empowered by Efficient Flow-Centric VisibilityFuture Internet10.3390/fi1607022316:7(223)Online publication date: 25-Jun-2024
https://doi.org/10.3390/fi16070223
Zhao XSu HSun Z(2022)An Intrusion Detection System Based on Genetic Algorithm for Software-Defined NetworksMathematics10.3390/math1021394110:21(3941)Online publication date: 24-Oct-2022
https://doi.org/10.3390/math10213941
Sadrhaghighi SDolati MGhaderi MKhonsari A(2022)Monitoring OpenFlow Virtual Networks via Coordinated Switch-Based Traffic MirroringIEEE Transactions on Network and Service Management10.1109/TNSM.2022.314973419:3(2219-2237)Online publication date: Sep-2022
https://doi.org/10.1109/TNSM.2022.3149734
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Index Terms

FleXam: flexible sampling extension for monitoring and security applications in openflow
1. Networks
  1. Network services
    1. Network monitoring

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Published In

HotSDN '13: Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking

August 2013

182 pages

ISBN:9781450321785

DOI:10.1145/2491185

Program Chairs:
Nate Foster
Cornell University
,
Rob Sherwood
Big Switch Networks

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 August 2013

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SIGCOMM'13

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SIGCOMM

SIGCOMM'13: ACM SIGCOMM 2013 Conference

August 16, 2013

Hong Kong, China

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HotSDN '13 Paper Acceptance Rate 38 of 84 submissions, 45%;

Overall Acceptance Rate 88 of 198 submissions, 44%

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Risdianto AUsman MRathore M(2024)Transforming Network Management: Intent-Based Flexible Control Empowered by Efficient Flow-Centric VisibilityFuture Internet10.3390/fi1607022316:7(223)Online publication date: 25-Jun-2024
https://doi.org/10.3390/fi16070223
Zhao XSu HSun Z(2022)An Intrusion Detection System Based on Genetic Algorithm for Software-Defined NetworksMathematics10.3390/math1021394110:21(3941)Online publication date: 24-Oct-2022
https://doi.org/10.3390/math10213941
Sadrhaghighi SDolati MGhaderi MKhonsari A(2022)Monitoring OpenFlow Virtual Networks via Coordinated Switch-Based Traffic MirroringIEEE Transactions on Network and Service Management10.1109/TNSM.2022.314973419:3(2219-2237)Online publication date: Sep-2022
https://doi.org/10.1109/TNSM.2022.3149734
Sadrhaghighi SDolati MGhaderi MKhonsari A(2022)FlowShark: Sampling for High Flow Visibility in SDNsIEEE INFOCOM 2022 - IEEE Conference on Computer Communications10.1109/INFOCOM48880.2022.9796658(160-169)Online publication date: 2-May-2022
https://doi.org/10.1109/INFOCOM48880.2022.9796658
Mohammadi RAkleylek SGhaffari AShirmarz A(2022)Taxonomy of traffic engineering mechanisms in software-defined networks: a surveyTelecommunication Systems10.1007/s11235-022-00947-681:3(475-502)Online publication date: 5-Sep-2022
https://doi.org/10.1007/s11235-022-00947-6
Zhang XZhang CZhong ZYe P(2022)An Intelligent SDN DDoS Detection FrameworkCollaborative Computing: Networking, Applications and Worksharing10.1007/978-3-030-92635-9_20(333-347)Online publication date: 1-Jan-2022
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Zhang YLiu ZWang RYang TLi JMiao RLiu PZhang RJiang JKuipers FCaesar M(2021)CocoSketchProceedings of the 2021 ACM SIGCOMM 2021 Conference10.1145/3452296.3472892(207-222)Online publication date: 9-Aug-2021
https://dl.acm.org/doi/10.1145/3452296.3472892
Thimmaraju KSchiff LSchmid S(2021)Preacher: Network Policy Checker for Adversarial EnvironmentsIEEE/ACM Transactions on Networking10.1109/TNET.2021.307814329:5(2087-2100)Online publication date: Oct-2021
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Nazar MAlhudhaif AQureshi KIqbal SJeon G(2021)Signature and flow statistics based anomaly detection system in software-defined networking for 6G internet of things networkInternational Journal of System Assurance Engineering and Management10.1007/s13198-021-01162-314:1(87-97)Online publication date: 6-Jul-2021
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Hande YMuddana A(2020)A Survey on Intrusion Detection System for Software Defined Networks (SDN)Research Anthology on Artificial Intelligence Applications in Security10.4018/978-1-7998-7705-9.ch023(467-489)Online publication date: 27-Nov-2020
https://doi.org/10.4018/978-1-7998-7705-9.ch023
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FleXam: flexible sampling extension for monitoring and security applications in openflow

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Recommendations

OpenVirteX: make your virtual SDNs programmable

Efficient Implementation of Security Applications in OpenFlow Controller with FleXam

Traffic statistics collection with FleXam

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