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

Rhongho Jang; Donggyu Cho; Aziz Mohaisen; Youngtae Noh; Daehun Nyang

doi:10.1145/3098243.3106025

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

Rhongho Jang, Donggyu Cho, Aziz Mohaisen, Youngtae Noh, Daehun Nyang

Department of Cyber Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017
Publisher	Association for Computing Machinery, Inc
Pages	279-280
Number of pages	2
ISBN (Electronic)	9781450350846
DOIs	https://doi.org/10.1145/3098243.3106025
State	Published - 18 Jul 2017
Event	10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017 - Boston, United States Duration: 18 Jul 2017 → 20 Jul 2017

Publication series

Name	Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017

Conference

Conference	10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017
Country/Territory	United States
City	Boston
Period	18/07/17 → 20/07/17

Bibliographical note

Publisher Copyright:
© 2017 Copyright held by the owner/author(s).

Access to Document

10.1145/3098243.3106025

Cite this

Jang, R., Cho, D., Mohaisen, A., Noh, Y., & Nyang, D. (2017). Poster: Two-level network monitoring and management in WLAN using software-defined networking. In Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017 (pp. 279-280). (Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3098243.3106025

Jang, Rhongho ; Cho, Donggyu ; Mohaisen, Aziz et al. / Poster : Two-level network monitoring and management in WLAN using software-defined networking. Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017. Association for Computing Machinery, Inc, 2017. pp. 279-280 (Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017).

@inproceedings{f2c4d2e2e053443ca8bb88d9a8cd7782,

title = "Poster: Two-level network monitoring and management in WLAN using software-defined networking",

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.",

author = "Rhongho Jang and Donggyu Cho and Aziz Mohaisen and Youngtae Noh and Daehun Nyang",

note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017 ; Conference date: 18-07-2017 Through 20-07-2017",

year = "2017",

month = jul,

day = "18",

doi = "10.1145/3098243.3106025",

language = "English",

series = "Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017",

publisher = "Association for Computing Machinery, Inc",

pages = "279--280",

booktitle = "Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017",

}

Jang, R, Cho, D, Mohaisen, A, Noh, Y & Nyang, D 2017, Poster: Two-level network monitoring and management in WLAN using software-defined networking. in Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017. Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017, Association for Computing Machinery, Inc, pp. 279-280, 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017, Boston, United States, 18/07/17. https://doi.org/10.1145/3098243.3106025

Poster: Two-level network monitoring and management in WLAN using software-defined networking. / Jang, Rhongho; Cho, Donggyu; Mohaisen, Aziz et al.
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017. Association for Computing Machinery, Inc, 2017. p. 279-280 (Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Poster

T2 - 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017

AU - Jang, Rhongho

AU - Cho, Donggyu

AU - Mohaisen, Aziz

AU - Noh, Youngtae

AU - Nyang, Daehun

PY - 2017/7/18

Y1 - 2017/7/18

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85027711425&partnerID=8YFLogxK

U2 - 10.1145/3098243.3106025

DO - 10.1145/3098243.3106025

M3 - Conference contribution

AN - SCOPUS:85027711425

T3 - Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017

SP - 279

EP - 280

BT - Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017

PB - Association for Computing Machinery, Inc

Y2 - 18 July 2017 through 20 July 2017

ER -

Jang R, Cho D, Mohaisen A, Noh Y, Nyang D. Poster: Two-level network monitoring and management in WLAN using software-defined networking. In Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017. Association for Computing Machinery, Inc. 2017. p. 279-280. (Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2017). doi: 10.1145/3098243.3106025

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

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Fingerprint

Cite this