research-article

Wireless Fingerprints Inside a Wireless Sensor Network

Authors:

T. KunzAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 11, Issue 2

Article No.: 37, Pages 1 - 30

https://doi.org/10.1145/2658999

Published: 02 March 2015 Publication History

Abstract

We discriminate between different SiLabs IEEE 802.15.4 2.4GHz RF sources using the Ettus Labs USRP1 Software-Defined Radio. The wireless fingerprinting method implemented on the USRP1 device exploits differences in the phase attributes of demodulated data samples. The method does not require the use of expensive spectrum analyzer equipment and the associated high sampling and processing rates with such equipment. Instead, data sample inputs are used, sampled at a rate of 4MHz. This makes implementation using real Wireless Sensor Network nodes feasible and allows wireless fingerprints to be gathered inside each node in a network. This is important since wireless fingerprints degrade over distance, making distributed implementations more attractive. With our method, the USRP1 classifies accurately over a wide range of network conditions, including time and transmission distance. Performance is also stable for different receiving devices. We achieve average classification accuracies of 99.6% at short range, 95.3% at medium range, and 81.9% at long range when classifying a limited sample of five devices from the same manufacturer.

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Cited By

Hong ZLu LZheng DSuo JSun PBeyah RWen Z(2024)Detect Insider Attacks in Industrial Cyber-physical Systems Using Multi-physical Features-based FingerprintingACM Transactions on Sensor Networks10.1145/358269120:2(1-27)Online publication date: 9-Jan-2024
https://dl.acm.org/doi/10.1145/3582691
Abbas SAbu Talib MNasir QIdhis SAlaboudi MMohamed A(2024)Radio frequency fingerprinting techniques for device identification: a surveyInternational Journal of Information Security10.1007/s10207-023-00801-z23:2(1389-1427)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s10207-023-00801-z
Li NShao ZWang WLu ZWang T(2023)Hardware feature extraction technology for resource aggregation control communication channel and signal sourceSixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023)10.1117/12.2682862(30)Online publication date: 16-Jun-2023
https://doi.org/10.1117/12.2682862
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Index Terms

Wireless Fingerprints Inside a Wireless Sensor Network
1. Networks
  1. Network architectures

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 11, Issue 2

February 2015

563 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/2656931

Editor:
Chenyang Lu
Department of Computer Science and Engineering/School of Engineering and Applied Sciences/Washington University/1 Brookings Drive/St. Louis, MO

Issue’s Table of Contents

Copyright © 2015 ACM.

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Association for Computing Machinery

New York, NY, United States

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 02 March 2015

Accepted: 01 July 2014

Revised: 01 June 2014

Received: 01 June 2013

Published in TOSN Volume 11, Issue 2

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Cited By

Hong ZLu LZheng DSuo JSun PBeyah RWen Z(2024)Detect Insider Attacks in Industrial Cyber-physical Systems Using Multi-physical Features-based FingerprintingACM Transactions on Sensor Networks10.1145/358269120:2(1-27)Online publication date: 9-Jan-2024
https://dl.acm.org/doi/10.1145/3582691
Abbas SAbu Talib MNasir QIdhis SAlaboudi MMohamed A(2024)Radio frequency fingerprinting techniques for device identification: a surveyInternational Journal of Information Security10.1007/s10207-023-00801-z23:2(1389-1427)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s10207-023-00801-z
Li NShao ZWang WLu ZWang T(2023)Hardware feature extraction technology for resource aggregation control communication channel and signal sourceSixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023)10.1117/12.2682862(30)Online publication date: 16-Jun-2023
https://doi.org/10.1117/12.2682862
Du RZhen LLiu Y(2023)Physical Layer Authentication Based on Integrated Semi-Supervised Learning in Wireless Networks for Dynamic Industrial ScenariosIEEE Transactions on Vehicular Technology10.1109/TVT.2022.323163372:5(6154-6164)Online publication date: May-2023
https://doi.org/10.1109/TVT.2022.3231633
Fu HZhang XPeng L(2023)Comparison of Receiver Front-end Differences for RF Fingerprint based IoT Device Identification2023 8th International Conference on Signal and Image Processing (ICSIP)10.1109/ICSIP57908.2023.10271025(979-984)Online publication date: 8-Jul-2023
https://doi.org/10.1109/ICSIP57908.2023.10271025
Kumar RSingh S(2023)Performance Analysis of User Authentication Schemes in Wireless Sensor NetworksProceedings of International Conference on Recent Innovations in Computing10.1007/978-981-19-9876-8_43(571-583)Online publication date: 3-May-2023
https://doi.org/10.1007/978-981-19-9876-8_43
Li JZhang SXing MQiao ZZhang X(2022)Mobile Device Identification Based on Two-dimensional Representation of RF Fingerprint with Deep Learning2022 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC55528.2022.9913038(1-6)Online publication date: 30-Jun-2022
https://doi.org/10.1109/ISCC55528.2022.9913038
Fang DHu AShi J(2022)An All-data-segment Radio Frequency Fingerprint Extraction Method Based on Cross-power Spectrum2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE)10.1109/ICCECE54139.2022.9712663(384-388)Online publication date: 14-Jan-2022
https://doi.org/10.1109/ICCECE54139.2022.9712663
Huan XKim KZhang J(2021)NISA: Node Identification and Spoofing Attack Detection Based on Clock Features and Radio Information for Wireless Sensor NetworksIEEE Transactions on Communications10.1109/TCOMM.2021.307144869:7(4691-4703)Online publication date: Jul-2021
https://doi.org/10.1109/TCOMM.2021.3071448
Zhou XHu ALi GPeng LXing YYu J(2021)A Robust Radio-Frequency Fingerprint Extraction Scheme for Practical Device RecognitionIEEE Internet of Things Journal10.1109/JIOT.2021.30514028:14(11276-11289)Online publication date: 15-Jul-2021
https://doi.org/10.1109/JIOT.2021.3051402
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