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Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan
Increased internet usage also enhances cyberattacks, particularly in a developing country like Pakistan. These cybercrimes are common against children, demanding the implementation of automated systems and models to detect and counteract these crimes. By keeping in view the growing importance of AI-...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548385/ http://dx.doi.org/10.1007/s42087-022-00312-8 |
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author | Pasha, Saadia Anwar Ali, Sana Jeljeli, Riadh |
author_facet | Pasha, Saadia Anwar Ali, Sana Jeljeli, Riadh |
author_sort | Pasha, Saadia Anwar |
collection | PubMed |
description | Increased internet usage also enhances cyberattacks, particularly in a developing country like Pakistan. These cybercrimes are common against children, demanding the implementation of automated systems and models to detect and counteract these crimes. By keeping in view the growing importance of AI-enabled cybersecurity systems, this article provides insights regarding implementing the relevant systems and models to counteract cybercrimes against children in Pakistan. The researchers reviewed current studies witnessing the performance, reliability, and results of AI implementation in different countries to relate their possible potential further to detect, takedown, and trace online violence against children effectively. Findings showed that AI-enabled software, i.e., Spotlight, SomeBuddy, Google AI Tool, etc., and models such as DAPHNE, iCOP toolkit, and PrevBOT can identify and takedown any indecent activity against children. Besides, detecting the perpetrators’ URLs, domains, and personal emails can further help the children resume internet usage in a healthy online environment. Thus, it is concluded that the internet technology is also creating vectors for abuse and exploitation against children. Harnessing powerful technology, i.e., AI, to analyze and manage the data can also enrich investigative functions. Towards this, local government and law enforcement agencies should resort to suggested tools that may identify even keywords and images. Further, the researchers have provided policy recommendations and discussed the limitations accordingly. |
format | Online Article Text |
id | pubmed-9548385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95483852022-10-11 Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan Pasha, Saadia Anwar Ali, Sana Jeljeli, Riadh Hu Arenas Arena of Technologies Increased internet usage also enhances cyberattacks, particularly in a developing country like Pakistan. These cybercrimes are common against children, demanding the implementation of automated systems and models to detect and counteract these crimes. By keeping in view the growing importance of AI-enabled cybersecurity systems, this article provides insights regarding implementing the relevant systems and models to counteract cybercrimes against children in Pakistan. The researchers reviewed current studies witnessing the performance, reliability, and results of AI implementation in different countries to relate their possible potential further to detect, takedown, and trace online violence against children effectively. Findings showed that AI-enabled software, i.e., Spotlight, SomeBuddy, Google AI Tool, etc., and models such as DAPHNE, iCOP toolkit, and PrevBOT can identify and takedown any indecent activity against children. Besides, detecting the perpetrators’ URLs, domains, and personal emails can further help the children resume internet usage in a healthy online environment. Thus, it is concluded that the internet technology is also creating vectors for abuse and exploitation against children. Harnessing powerful technology, i.e., AI, to analyze and manage the data can also enrich investigative functions. Towards this, local government and law enforcement agencies should resort to suggested tools that may identify even keywords and images. Further, the researchers have provided policy recommendations and discussed the limitations accordingly. Springer International Publishing 2022-10-10 /pmc/articles/PMC9548385/ http://dx.doi.org/10.1007/s42087-022-00312-8 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Arena of Technologies Pasha, Saadia Anwar Ali, Sana Jeljeli, Riadh Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan |
title | Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan |
title_full | Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan |
title_fullStr | Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan |
title_full_unstemmed | Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan |
title_short | Artificial Intelligence Implementation to Counteract Cybercrimes Against Children in Pakistan |
title_sort | artificial intelligence implementation to counteract cybercrimes against children in pakistan |
topic | Arena of Technologies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548385/ http://dx.doi.org/10.1007/s42087-022-00312-8 |
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