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Verification of Various Attack Approaches Against CSI-Based Secret Key in Different Types of LOS Channels

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Abstract

Exploiting random fluctuations of radio channel for key agreement has been investigated for several years; however, these methods of key reconciliation in wireless LANs are vulnerable to attacks especially in case of Line-of-Sight (LOS) channels. In the following paper we will verify whether applying antenna arrays with reconfigurable antennas reduces the number of key bits leaking to the eavesdropper by utilizing two types of attack: Nearest Neighbour Excursion (NNE) and Average RSSI.

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Author information

Authors and Affiliations

  1. Faculty of Electronics and Telecommunications, Poznan University of Technology, ul. Polanka 3, 60-965, Poznań, Poland

    Michał Pilc & Jędrzej Stańczak

Authors
  1. Michał Pilc
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  2. Jędrzej Stańczak
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Corresponding author

Correspondence to Michał Pilc .

Editor information

Editors and Affiliations

  1. University of Santiago, Aveiro, Portugal

    Shahid Mumtaz

  2. Institute of Telecommunication, Aveiro, Portugal

    Jonathan Rodriguez

  3. Finland Technical, University of Oulu, Oulu, Finland

    Marcos Katz

  4. InterDigital Communications, King of Prussia, Pennsylvania, USA

    Chonggang Wang

  5. Departamento de Matemática e Engenharias, University of Madeira, Funchal, Portugal

    Alberto Nascimento

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Pilc, M., Stańczak, J. (2015). Verification of Various Attack Approaches Against CSI-Based Secret Key in Different Types of LOS Channels. In: Mumtaz, S., Rodriguez, J., Katz, M., Wang, C., Nascimento, A. (eds) Wireless Internet. WICON 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-319-18802-7_25

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  • DOI: https://doi.org/10.1007/978-3-319-18802-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18801-0

  • Online ISBN: 978-3-319-18802-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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