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International Conference on Internet of Things

ICIOT 2020: Internet of Things - ICIOT 2020 pp 96–107Cite as

A WiVi Based IoT Framework for Detection of Human Trafficking Victims Kept in Hideouts

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12405))

Abstract

Human trafficking is the trade of humans for the purpose of forced labor, sexual slavery, or commercial sexual exploitation for the trafficker or others. The traffickers often trick, defraud, or physically force victims into selling sex and forced labor. In others, victims are lied to, assaulted, threatened, or manipulated into working under inhumane, illegal, or otherwise unacceptable conditions. According to the estimation of the International Labor Organization, there are more than 40.3 million victims of human trafficking globally. It is a threat to the Nation as well as to humanity. There have been many efforts by government agencies & NGOs to stop human trafficking and rescuing victims, but the traffickers are getting smarter day by day. From multiple sources, it is observed that the traffickers generally hide humans in hidden rooms, sealed containers, and boxes disguised as goods. This congestion results in Critical mental and physical damages in some cases. It is practically impossible to physically go and check each box, containers or rooms. So in this paper, we propose an Wireless Vision based IoT framework, which uses the reflection of WiFi radio waves generated by WiFi to detect the presence of humans inside a cement or metal enclosure from outside.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Applications, Utkal University, Bhubaneswar, Odisha, India

    Sidharth Samanta

  2. Department of Computer Science and Engineering, IIIT Bhubaneswar, Bhubaneswar, Odisha, India

    Sunil Samanta Singhar

  3. Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia

    A. H. Gandomi

  4. Department of Information Technology, VNRVJIET, Hyderabad, 500090, Telangana, India

    Somula Ramasubbareddy

  5. Department of Computer Science Engineering, Sona College of Technology, Salem, 636005, Tamilnadu, India

    S. Sankar

Authors
  1. Sidharth Samanta
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  2. Sunil Samanta Singhar
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  3. A. H. Gandomi
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  4. Somula Ramasubbareddy
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  5. S. Sankar
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Corresponding author

Correspondence to A. H. Gandomi .

Editor information

Editors and Affiliations

  1. North China University of Technology, Beijing, China

    Wei Song

  2. Louisiana State University, Baton Rouge, LA, USA

    Kisung Lee

  3. Georgia State University, Atlanta, GA, USA

    Zhisheng Yan

  4. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

  5. Kingdee International Software Group Co., Ltd., Hong Kong, China

    Huan Chen

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Samanta, S., Singhar, S.S., Gandomi, A.H., Ramasubbareddy, S., Sankar, S. (2020). A WiVi Based IoT Framework for Detection of Human Trafficking Victims Kept in Hideouts. In: Song, W., Lee, K., Yan, Z., Zhang, LJ., Chen, H. (eds) Internet of Things - ICIOT 2020. ICIOT 2020. Lecture Notes in Computer Science(), vol 12405. Springer, Cham. https://doi.org/10.1007/978-3-030-59615-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-59615-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59614-9

  • Online ISBN: 978-3-030-59615-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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