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

Samanta, S; Singhar, SS; Gandomi, AH; Ramasubbareddy, S; Sankar, S

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

Samanta, S Singhar, SS Gandomi, AH Ramasubbareddy, S Sankar, S

Permalink

Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: Internet of Things - ICIOT 2020, 2020, 12405 LNCS, pp. 96-107
Issue Date:: 2020-01-01

Closed Access

	Filename	Description	Size
	A_WiVi_based_IoT_Framework_for_Detection_of_Human_Trafficking_Victims_kept_in_Hideouts (1).pdf	Accepted version	5.47 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Samanta, S
dc.contributor.author	Singhar, SS
dc.contributor.author	Gandomi, AH
dc.contributor.author	Ramasubbareddy, S
dc.contributor.author	Sankar, S
dc.date	2020-09-18
dc.date.accessioned	2021-02-02T04:21:38Z
dc.date.available	2021-02-02T04:21:38Z
dc.date.issued	2020-01-01
dc.identifier.citation	Internet of Things - ICIOT 2020, 2020, 12405 LNCS, pp. 96-107
dc.identifier.isbn	9783030596149
dc.identifier.issn	0302-9743
dc.identifier.issn	1611-3349
dc.identifier.uri	http://hdl.handle.net/10453/145727
dc.description.abstract	© 2020, Springer Nature Switzerland AG. 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.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Internet of Things - ICIOT 2020
dc.relation.ispartof	International Conference on Internet of Things
dc.relation.ispartofseries	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.isbasedon	10.1007/978-3-030-59615-6_7
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	A WiVi Based IoT Framework for Detection of Human Trafficking Victims Kept in Hideouts
dc.type	Conference Proceeding
utslib.citation.volume	12405 LNCS
utslib.location.activity	Honolulu, HI, USA
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-02-02T04:21:30Z
pubs.finish-date	2020-09-20
pubs.place-of-publication	Cham, Switzerland
pubs.publication-status	Published
pubs.start-date	2020-09-18
pubs.volume	12405 LNCS
dc.location	Cham, Switzerland

Abstract:

© 2020, Springer Nature Switzerland AG. 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/145727