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A real-time and protocol-aware reactive jamming framework built on software-defined radios

Authors:

Boris Shishkin,

Nagarajan Kandasamy,

Kapil R. DandekarAuthors Info & Claims

SRIF '14: Proceedings of the 2014 ACM workshop on Software radio implementation forum

Pages 15 - 22

https://doi.org/10.1145/2627788.2627798

Published: 18 August 2014 Publication History

Abstract

This paper develops a software-defined radio (SDR) framework for real-time reactive adversarial jamming in wireless networks. The system consists of detection and RF response infrastructure, implemented in the FPGA of a USRP N210 and designed to function with the open source GNU Radio SDR library. The framework can be used to implement a fast turnaround reactive jamming system capable of timely RF response within \textit{80ns} of signal detection. Our framework also allows for full control and feedback from the FPGA hardware to the GNU Radio-based cognitive radio backend, making it applicable to a wide range of preamble-based wireless communication schemes. This paper presents the capabilities, design, and experimental evaluation of this framework. Using this platform, we demonstrate real-time reactive jamming capabilities in both WiFi (802.11g) and mobile WiMAX (802.16e) networks and quantify jamming performances by measuring the network throughput using the iperf software tool. The results indicate that our system works reliably in real time as a reactive jammer and can be used for practical assessments of modern jamming and secure communication techniques.

References

[1]

GNU Radio. http://gnuradio.org/redmine/projects/gnuradio.

[2]

WARP Project. http://warpproject.org.

[3]

E. Bayraktaroglu, C. King, X. Liu, G. Noubir, R. Rajaraman, and B. Thapa. On the Performance of IEEE 802.11 under Jamming. In Proc. of INFOCOM, volume 0448330, pages 1265--1273, Apr. 2008.

[4]

J. Chen, S. Sen, M. Chiang, and D. J. Dorsey. A Framework for Energy-efficient Adaptive Jamming of Adversarial Communications. In Proc. of CISS, 2013.

[5]

S. Gollakota and D. Katabi. iJam : Jamming Oneself for Secure Wireless Communication. Technical report, MIT, 2010.

[6]

S. Gollakota and D. Katabi. Physical layer wireless security made fast and channel independent. In Proc. of IEEE INFOCOM, pages 1125--1133, Apr. 2011.

[7]

M. Li, I. Koutsopoulos, and R. Poovendran. Optimal Jamming Attacks and Network Defense Policies in Wireless Sensor Networks. In Proc. of IEEE INFOCOM, pages 1307--1315, 2007.

Digital Library

[8]

Y. Liu and P. Ning. BitTrickle: Defending against broadband and high-power reactive jamming attacks. In Proc. of IEEE INFOCOM, pages 909--917, Mar. 2012.

[9]

T. Pongthawornkamol and K. Nahrstedt. Alibi Framework for Identifying Reactive Jamming Nodes in Wireless LAN. In Proc. of IEEE GLOBECOM, Dec. 2011.

[10]

S. Prasad and D. J. Thuente. Jamming attacks in 802.11g - A cognitive radio based approach. In Proc. of IEEE MILCOM, pages 1219--1224, Nov. 2011.

[11]

W. Shen, P. Ning, X. He, and H. Dai. Ally Friendly Jamming: How to Jam Your Enemy and Maintain Your Own Wireless Connectivity at the Same Time. In Proc. of IEEE Symposium on Security and Privacy, pages 174--188, May 2013.

Digital Library

[12]

I. Shin, Y. Shen, Y. Xuan, M. T. Thai, and T. Znati. A Novel Approach Against Reactive Jamming Attacks. Journal of Ad Hoc & Sensor Wireless Networks, 12(1--2):125--149, 2011.

[13]

D. J. Thuente and M. Acharya. Intelligent jamming in wireless networks with applications to 802.11b and other networks. In Proc. of IEEE MILCOM, pages 1075--1081, 2006.

Digital Library

[14]

M. Wilhelm, I. Martinovic, J. B. Schmitt, and V. Lenders. Reactive Jamming in Wireless Networks - How Realistic is the Threat? In Proc. of ACM WiSec, pages 47--52, 2011.

Digital Library

[15]

W. Xu, W. Trappe, Y. Zhang, and T. Wood. The feasibility of launching and detecting jamming attacks in wireless networks. In Proc. of ACM MobiHoc, pages 46--57, 2005.

Digital Library

Cited By

Fan YJiu BPu WLi ZLi KLiu H(2024)Sensing Jamming Strategy From Limited Observations: An Imitation Learning PerspectiveIEEE Transactions on Signal Processing10.1109/TSP.2024.344312172(4098-4114)Online publication date: 2024
https://doi.org/10.1109/TSP.2024.3443121
Basak SRajendran SPollin SScheers B(2024)Spectrum Prediction for Protocol-Aware RF JammingIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2023.332753810:2(363-373)Online publication date: Apr-2024
https://doi.org/10.1109/TCCN.2023.3327538
Klör FBauer JPaulus SRademacher M(2024)Dude, Where’s That Ship? Stealthy Radio Attacks Against AIS Broadcasts2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639674(1-7)Online publication date: 8-Oct-2024
https://doi.org/10.1109/LCN60385.2024.10639674
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Index Terms

A real-time and protocol-aware reactive jamming framework built on software-defined radios
1. Security and privacy
  1. Network security

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Published In

cover image ACM Conferences

SRIF '14: Proceedings of the 2014 ACM workshop on Software radio implementation forum

August 2014

100 pages

ISBN:9781450329958

DOI:10.1145/2627788

General Chair:
Li Erran Li
Bell Labs, Alcatel-Lucent, USA
,
Program Chairs:
Shyam Gollakota
University of Washington, USA
,
Patrick Murphy
Mango Communications, USA
,
Marina Petrova
RWTH Aachen University, Germany

Copyright © 2014 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 the author(s) 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: 18 August 2014

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SIGCOMM'14

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SIGCOMM

SIGCOMM'14: ACM SIGCOMM 2014 Conference

August 18, 2014

Illinois, Chicago, USA

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SRIF '14 Paper Acceptance Rate 10 of 18 submissions, 56%;

Overall Acceptance Rate 23 of 41 submissions, 56%

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Cited By

Fan YJiu BPu WLi ZLi KLiu H(2024)Sensing Jamming Strategy From Limited Observations: An Imitation Learning PerspectiveIEEE Transactions on Signal Processing10.1109/TSP.2024.344312172(4098-4114)Online publication date: 2024
https://doi.org/10.1109/TSP.2024.3443121
Basak SRajendran SPollin SScheers B(2024)Spectrum Prediction for Protocol-Aware RF JammingIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2023.332753810:2(363-373)Online publication date: Apr-2024
https://doi.org/10.1109/TCCN.2023.3327538
Klör FBauer JPaulus SRademacher M(2024)Dude, Where’s That Ship? Stealthy Radio Attacks Against AIS Broadcasts2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639674(1-7)Online publication date: 8-Oct-2024
https://doi.org/10.1109/LCN60385.2024.10639674
Nguyen HNoubir G(2024)Deep Learning for Robust and Secure Wireless CommunicationsNetwork Security Empowered by Artificial Intelligence10.1007/978-3-031-53510-9_6(149-176)Online publication date: 24-Feb-2024
https://doi.org/10.1007/978-3-031-53510-9_6
Xu XFu CDu X(2023)MP-Mediator: Detecting and Handling the New Stealthy Delay Attacks on IoT Events and CommandsProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3607199.3607225(46-62)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3607199.3607225
Ghiro LCominelli MGringoli FLo Cigno R(2023)Wi-Fi Localization Obfuscation: An implementation in openwifiComputer Communications10.1016/j.comcom.2023.03.026205(1-13)Online publication date: May-2023
https://doi.org/10.1016/j.comcom.2023.03.026
Castrillo VManco APascarella DGigante G(2022)A Review of Counter-UAS Technologies for Cooperative Defensive Teams of DronesDrones10.3390/drones60300656:3(65)Online publication date: 1-Mar-2022
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Sathaye HNoubir GRanganathan A(2022)On the Implications of Spoofing and Jamming Aviation Datalink ApplicationsProceedings of the 38th Annual Computer Security Applications Conference10.1145/3564625.3564651(548-560)Online publication date: 5-Dec-2022
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Ghiro LCominelli MGringoli FCigno R(2022)On the Implementation of Location Obfuscation in openwifi and Its Performance2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet)10.1109/MedComNet55087.2022.9810411(64-73)Online publication date: 1-Jun-2022
https://doi.org/10.1109/MedComNet55087.2022.9810411
Fu CZeng QChi HDu XValluru S(2022)IoT Phantom-Delay Attacks: Demystifying and Exploiting IoT Timeout Behaviors2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN53405.2022.00050(428-440)Online publication date: Jun-2022
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