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Investigation on Unauthorized Human Activity Watching Through Leveraging Wi-Fi Signals

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Book cover Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11342))

Abstract

Wireless signals, including Wi-Fi signals have become ubiquitous. Recent advancement shows that such signals can be leveraged for many applications including healthcare and people motion monitoring. An interesting question would be what if Wi-Fi signals can also be used in monitoring human activities in unauthorized and unauthenticated manner. In this paper, we study of watching human activities through leveraging Wi-Fi signals and discuss a few application prototypes. These prototypes are used to detect, track, and identify any moving objects, including those behind obstacles using multiple-input Multiple-output (MIMO) technology to calculate the change in frequency reception. We attempt to learn whether or not our Wi-Fi router is not watching our Internet activity as well as physical activities. With all new technologies, one must be aware that unauthorized use of these technology can be used by criminals to their advantage, and we discuss some of the countermeasures to mitigate this risks.

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Authors and Affiliations

  1. Department of Computer and Information Sciences, Fordham University, New York, 10458, USA

    Md Zakirul Alam Bhuiyan & Md. Monirul Islam

  2. School of Computer Science and Technology, Guangzhou University, Guangzhou, 510006, China

    Md Zakirul Alam Bhuiyan & Guojun Wang

  3. Department of Computer and Information Sciences, Huaqiao University, Quanzhou, 362000, China

    Tian Wang

Authors
  1. Md Zakirul Alam Bhuiyan
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  2. Md. Monirul Islam
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  3. Guojun Wang
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  4. Tian Wang
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Corresponding authors

Correspondence to Guojun Wang or Tian Wang .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Swinburne University of Technology, Melbourne, VIC, Australia

    Jinjun Chen

  3. St. Francis Xavier University, Antigonish, NS, Canada

    Laurence T. Yang

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Bhuiyan, M.Z.A., Islam, M.M., Wang, G., Wang, T. (2018). Investigation on Unauthorized Human Activity Watching Through Leveraging Wi-Fi Signals. In: Wang, G., Chen, J., Yang, L. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2018. Lecture Notes in Computer Science(), vol 11342. Springer, Cham. https://doi.org/10.1007/978-3-030-05345-1_44

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  • DOI: https://doi.org/10.1007/978-3-030-05345-1_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05344-4

  • Online ISBN: 978-3-030-05345-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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