Web Application based Image Geolocation Analysis to Detect Human Trafficking
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 devi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Naif University Publishing House
2021-12-01
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| Series: | Journal of Information Security and Cybercrimes Research |
| Subjects: | |
| Online Access: | https://journals.nauss.edu.sa/index.php/JISCR/article/view/1599 |
| _version_ | 1797265173856124928 |
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| author | Ibrahim Adam Abdulrahma Al Qunaibit Nayef Shabeb Faisal Al Fehaid kyounggon Kim |
| author_facet | Ibrahim Adam Abdulrahma Al Qunaibit Nayef Shabeb Faisal Al Fehaid kyounggon Kim |
| author_sort | Ibrahim Adam |
| collection | DOAJ |
| description | 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 |
| first_indexed | 2024-04-25T00:40:36Z |
| format | Article |
| id | doaj.art-4a1f5c9e409342589053287e68431ec1 |
| institution | Directory Open Access Journal |
| issn | 1658-7782 1658-7790 |
| language | English |
| last_indexed | 2024-04-25T00:40:36Z |
| publishDate | 2021-12-01 |
| publisher | Naif University Publishing House |
| record_format | Article |
| series | Journal of Information Security and Cybercrimes Research |
| spelling | doaj.art-4a1f5c9e409342589053287e68431ec12024-03-12T11:14:07ZengNaif University Publishing HouseJournal of Information Security and Cybercrimes Research1658-77821658-77902021-12-014218519310.26735/XZBI51961303Web Application based Image Geolocation Analysis to Detect Human TraffickingIbrahim Adam0Abdulrahma Al Qunaibit1Nayef Shabeb2Faisal Al Fehaid3kyounggon Kim4Department of Forensic Sciences, College of Criminal Justice, Naif Arab University for Security Sciences, Riyadh, KSADepartment of Forensic Sciences, College of Criminal Justice, Naif Arab University for Security Sciences, Riyadh, KSA.Department of Forensic Sciences, College of Criminal Justice, Naif Arab University for Security Sciences, Riyadh, KSA.Department of Forensic Sciences, College of Criminal Justice, Naif Arab University for Security Sciences, Riyadh, KSA.Center of Cybercrimes and Digital Forensics, Naif Arab University for Security Sciences, Kingdom of Saudi ArabiaMigrant 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 processhttps://journals.nauss.edu.sa/index.php/JISCR/article/view/1599cybercrimehuman traffickingsmugglingimage geolocation tracingsudan human trafficking case |
| spellingShingle | Ibrahim Adam Abdulrahma Al Qunaibit Nayef Shabeb Faisal Al Fehaid kyounggon Kim Web Application based Image Geolocation Analysis to Detect Human Trafficking Journal of Information Security and Cybercrimes Research cybercrime human trafficking smuggling image geolocation tracing sudan human trafficking case |
| title | Web Application based Image Geolocation Analysis to Detect Human Trafficking |
| title_full | Web Application based Image Geolocation Analysis to Detect Human Trafficking |
| title_fullStr | Web Application based Image Geolocation Analysis to Detect Human Trafficking |
| title_full_unstemmed | Web Application based Image Geolocation Analysis to Detect Human Trafficking |
| title_short | Web Application based Image Geolocation Analysis to Detect Human Trafficking |
| title_sort | web application based image geolocation analysis to detect human trafficking |
| topic | cybercrime human trafficking smuggling image geolocation tracing sudan human trafficking case |
| url | https://journals.nauss.edu.sa/index.php/JISCR/article/view/1599 |
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