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Sensitivity of radiometric fingerprint against wireless channel: poster abstract

Authors:

Wenqing Yan,

Christian RohnerAuthors Info & Claims

SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems

Pages 719 - 720

https://doi.org/10.1145/3384419.3430455

Published: 16 November 2020 Publication History

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Abstract

Radiometric signatures have been shown effective in identifying wireless devices, also known as fingerprinting, which refers to imperfections in their electronics. Previous work mainly considered static channel conditions. In this work, we systematically and experimentally study the impact of dynamic and complex channel conditions on the radiometric signatures. The results show a threat to identification accuracy for modulation error-based fingerprinting that was considered channel-resilient.

References

[1]

Al-Shawabka and et al. 2020. Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. In INFOCOM IEEE Conference on Computer Communications.

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[2]

Vladimir Brik and et al. 2008. Wireless device identification with radiometric signatures. In Proceedings of the 14th ACM international conference on Mobile computing and networking.

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[3]

Andrea Goldsmith. 2005. Wireless Communications. Cambridge University Press. 192 pages.

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Index Terms

Sensitivity of radiometric fingerprint against wireless channel: poster abstract
1. Networks
  1. Network properties
    1. Network security
      1. Mobile and wireless security
2. Security and privacy
  1. Security services
    1. Authentication

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SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems

November 2020

852 pages

ISBN:9781450375900

DOI:10.1145/3384419

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 November 2020

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Swedish Foundation for Strategic Research

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SenSys '20

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SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems

November 16 - 19, 2020

Virtual Event, Japan

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Overall Acceptance Rate 174 of 867 submissions, 20%

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RRF: A Robust Radiometric Fingerprint System that Embraces Wireless Channel Diversity

Towards robust and low-complexity radiometric fingerprint: PhD forum abstract

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RRF: A Robust Radiometric Fingerprint System that Embraces Wireless Channel Diversity

Towards robust and low-complexity radiometric fingerprint: PhD forum abstract

On the sensitivity of the MIMO Tomlinson-Harashima precoder with respect to channel uncertainties

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