Open AccessWeb Application based Image Geolocation Analysis to Detect Human Trafficking
Author(s) -
Kyounggon Kim,
Ibrahim Khalil Adam,
Abdulrahman Al Qunaibit,
Nayef Shabel,
Faisal Al Fehaid
Publication year - 2021
Publication title -
journal of information security and cybercrimes research
Language(s) - English
Resource type - Journals
eISSN - 1658-7782
pISSN - 1658-7790
DOI - 10.26735/xzbi5196
Subject(s) - geolocation , web application , computer science , cover (algebra) , suspect , social media , mobile device , process (computing) , world wide web , component (thermodynamics) , computer security , engineering , political science , mechanical engineering , physics , law , thermodynamics , operating system
Migrant smuggling is a dangerous phenomenon threatening international peace and security. This global concern for many countries is mainly due to the high use of multimedia devices and social media. There are great demands to specify an in depth gathering of information about a suspect’s mobile device while investigating cases of human trafficking and migrant smuggling. The primary purpose of this study is to help resolve the human trafficking problem that currently faces Sudan. In this paper we cover the steps used to geolocate images captured from suspects and victims’ mobile devices cameras. The obtained images are then analyzed using our specialized developed web application. This latter is built using open-source tools such as the Laravel framework and a Google Maps API which is considered as the main component of the web application. The results of the developed web application on a real case in Sudan has proven its usefulness in easing and speeding up the digital investigation process