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Two-level network monitoring and management in WLAN using software-defined networking: poster

Published: 18 July 2017 Publication History
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  • Abstract

    In this work, we propose an SDN-based WLAN monitoring and management framework called RFlow+ and devise a two-level counting mechanism, namely a distributed local counter (on-site and real-time) and a central collector (a summation of local counters). Building on that, we proposed a highly scalable monitoring and management framework to handle immediate actions based on short-term (e.g., 50 ms) monitoring and eventual actions based on long-term (e.g., 1 month) monitoring. The former uses the local view of each access point (AP), and the latter uses the global view of the collector.

    References

    [1]
    Rhongho Jang, DongGyu Cho, Youngtae Noh, and DaeHun Nyang. 2017. RFlow+: An SDN-based WLAN Monitoring and Management Framework. In 2017 IEEE International Conf. on Computer Communications (INFOCOM), 2017.
    [2]
    D. Nyang and D. Shin. 2016. Recyclable Counter With Confinement for Real-Time Per-Flow Measurement. IEEE/ACM Transactions on Networking 24, 5 (2016), 3191--3203.

    Cited By

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    • (2019)A cost-effective anomaly detection system using in-DRAM working set of active flows tableProceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks10.1145/3317549.3326294(286-287)Online publication date: 15-May-2019
    1. Two-level network monitoring and management in WLAN using software-defined networking: poster

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      cover image ACM Conferences
      WiSec '17: Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks
      July 2017
      297 pages
      ISBN:9781450350846
      DOI:10.1145/3098243
      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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      Published: 18 July 2017

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      • (2019)A cost-effective anomaly detection system using in-DRAM working set of active flows tableProceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks10.1145/3317549.3326294(286-287)Online publication date: 15-May-2019

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