research-article

RFDump: an architecture for monitoring the wireless ether

Authors:

Kaushik Lakshminarayanan,

Srinivasan Seshan,

Peter SteenkisteAuthors Info & Claims

CoNEXT '09: Proceedings of the 5th international conference on Emerging networking experiments and technologies

Pages 253 - 264

https://doi.org/10.1145/1658939.1658968

Published: 01 December 2009 Publication History

Abstract

Networking researchers have been using tools like wireshark and tcpdump to sniff packets on physical links that use different types of datalink protocols, e.g. Ethernet or 802.11, allowing them to monitor higher level protocols sharing these links. However, monitoring wireless links is more challenging, since the transmission medium is shared by flows using diverse datalink protocols (e.g. 802.11, Bluetooth) and physical layer schemes (e.g. QPSK and GFSK). To this end, we propose RFDump, a software architecture for monitoring packets on heterogeneous wireless networks. The key idea underlying our architecture is the use of a fast detection stage which can tentatively map signals to protocols very efficiently. As a result, RFDump can scale up to a modest number (5-10) of wireless technologies.

We implemented RFDump on the GNU Radio and USRP platforms. This is, to our knowledge, the first inexpensive software-based infrastructure for simultaneously analyzing multiple wireless protocols in real-time. Using traces from the real world and from a wireless emulator testbed, we show that our implementation is efficient and accurate. Further, we demonstrate that our system is extensible and scales with the addition of new protocols.

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Cited By

Galtier FAuriol GNicomette VOlivier PCayre RKaâniche M(2024)Wireless Modulation Identification: Filling the Gap in IoT Networks Security AuditDetection of Intrusions and Malware, and Vulnerability Assessment10.1007/978-3-031-64171-8_27(525-544)Online publication date: 9-Jul-2024
https://doi.org/10.1007/978-3-031-64171-8_27
Baset ABecker CDerr KSarkar SKasera S(2022)AviSense: A Real-time System for Detection, Classification, and Analysis of Aviation SignalsACM Transactions on Sensor Networks10.1145/352608919:1(1-35)Online publication date: 8-Dec-2022
https://dl.acm.org/doi/10.1145/3526089
Almazrouei EGianini GAlmoosa NDamiani ELi CMostefaoui A(2020)What can Machine Learning do for Radio Spectrum Management?Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks10.1145/3416013.3426443(15-21)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416013.3426443
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Index Terms

RFDump: an architecture for monitoring the wireless ether
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
    2. Metrics
2. Networks
  1. Network services
    1. Network monitoring
  2. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

CoNEXT '09: Proceedings of the 5th international conference on Emerging networking experiments and technologies

December 2009

362 pages

ISBN:9781605586366

DOI:10.1145/1658939

General Chairs:
Jörg Liebeherr
University of Toronto, Canada
,
Giorgio Ventre
University of Napoli, Italy
,
Program Chairs:
Ernst Biersack
Eurecom, France
,
S. Keshav
University of Waterloo, Canada

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2009

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Co-NEXT '09

Sponsor:

SIGCOMM

Co-NEXT '09: Conference on emerging Networking EXperiments and Technologies

December 1 - 4, 2009

Rome, Italy

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Overall Acceptance Rate 198 of 789 submissions, 25%

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Cited By

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https://doi.org/10.1007/978-3-031-64171-8_27
Baset ABecker CDerr KSarkar SKasera S(2022)AviSense: A Real-time System for Detection, Classification, and Analysis of Aviation SignalsACM Transactions on Sensor Networks10.1145/352608919:1(1-35)Online publication date: 8-Dec-2022
https://dl.acm.org/doi/10.1145/3526089
Almazrouei EGianini GAlmoosa NDamiani ELi CMostefaoui A(2020)What can Machine Learning do for Radio Spectrum Management?Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks10.1145/3416013.3426443(15-21)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416013.3426443
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Wu QSun ZZhou X(2020)Recurrent Neural Detection of Time–Frequency Overlapped Interference SignalsArtificial Intelligence in China10.1007/978-981-15-0187-6_8(67-75)Online publication date: 1-Feb-2020
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Guddeti YSubbaraman RKhazraee MSchulman ABharadia DLorch JYu M(2019)SweepsenseProceedings of the 16th USENIX Conference on Networked Systems Design and Implementation10.5555/3323234.3323261(317-330)Online publication date: 26-Feb-2019
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Croce DGarlisi DGiuliano FInzerillo NTinnirello I(2018)Learning From Errors: Detecting Cross-Technology Interference in WiFi NetworksIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2018.28160684:2(347-356)Online publication date: Jun-2018
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Croce DGalioto NGarlisi DGiuliano FTinnirello IGunningberg PVoigt TMottola LLu C(2017)An Inter-Technology Communication Scheme for WiFi/ZigBee Coexisting NetworksProceedings of the 2017 International Conference on Embedded Wireless Systems and Networks10.5555/3108009.3108089(305-310)Online publication date: 20-Feb-2017
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