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NetAssay: providing new monitoring primitives for network operators

Published: 17 August 2014 Publication History

Abstract

Home and business network operators have limited network statistics available over which management decisions can be made. Similarly, there are few triggered behaviors, such as usage or bandwidths cap for individual users, that are available. By looking at sources of traffic, based on Domain Name System (DNS) cues for content of particular web addresses or source Autonomous System (AS) of the traffic, network operators could create new and interesting rules for their network. NetAssay is a Software-Defined Networking (SDN)-based, network-wide monitoring and reaction framework. By integrating information from Border Gateway Protocol (BGP) and the Domain Name System, NetAssay is able to integrate formerly disparate sources of control information, and use it to provide better monitoring, more useful triggered events, and security benefits for network operators.

References

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J. R. Ballard, I. Rae, and A. Akella. Extensible and scalable network monitoring using opensafe. Proceedings of USENIX Internet Network Management Workshop/Workshop on Research on Enterprise Networking, 2010.
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A. Gupta, L. Vanbever, M. Shahbaz, S. Donovan, B. Schlinker, N. Feamster, J. Rexford, S. Shenker, R. Clark, and E. Katz-Bassett. Sdx: A software defined internet exchange. Proceedings of the ACM SIGCOMM 2014 conference, 2014. To Appear.
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J. Reich, C. Monsanto, N. Foster, J. Rexford, and D. Walker. Modular sdn programming with pyretic. USENIX ;login, 38(5):128--134.
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M. S. Seddiki, M. Shahbaz, S. Donovan, S. Grover, M. Park, N. Feamster, and Y.-Q. Song. Flowqos: Qos for the rest of us. HotSDN 2014, 2014. To Appear.
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S. Shin and G. Gu. Cloudwatcher: Network security monitoring using openflow in dynamic cloud networks. 20th IEEE International Conference on Network Protocols, 2012.

Cited By

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  • (2017)AlpacaIEEE/ACM Transactions on Networking10.1109/TNET.2017.265712325:3(1846-1860)Online publication date: 1-Jun-2017
  • (2016)Empirical Evidences in Software-Defined Network Security: A Systematic Literature ReviewInformation Fusion for Cyber-Security Analytics10.1007/978-3-319-44257-0_11(253-295)Online publication date: 22-Oct-2016

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      cover image ACM Conferences
      SIGCOMM '14: Proceedings of the 2014 ACM conference on SIGCOMM
      August 2014
      662 pages
      ISBN:9781450328364
      DOI:10.1145/2619239
      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: 17 August 2014

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      Author Tags

      1. network management
      2. network monitoring
      3. software-defined networking

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      SIGCOMM'14
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      SIGCOMM'14: ACM SIGCOMM 2014 Conference
      August 17 - 22, 2014
      Illinois, Chicago, USA

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      SIGCOMM '14 Paper Acceptance Rate 45 of 242 submissions, 19%;
      Overall Acceptance Rate 462 of 3,389 submissions, 14%

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      View all
      • (2017)AlpacaIEEE/ACM Transactions on Networking10.1109/TNET.2017.265712325:3(1846-1860)Online publication date: 1-Jun-2017
      • (2016)Empirical Evidences in Software-Defined Network Security: A Systematic Literature ReviewInformation Fusion for Cyber-Security Analytics10.1007/978-3-319-44257-0_11(253-295)Online publication date: 22-Oct-2016

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