Dark web exploitation of women and children: Understanding the phenomenon and combating its impact
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.60Keywords:
Dark web, Exploitation, Human trafficking, Child pornography, Women, Children, Law enforcement, Prevention, Intervention, Technology.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The hidden nature of the dark web makes it easier to exploit vulnerable groups, particularly women and children. This research explores how they are exploited on the dark web, including what causes it, common ways it happens, the difficulties law enforcement encounters, and steps to prevent and address it. By combining existing research, case studies, and expert opinions, this work aims to provide a comprehensive understanding of the issue and suggest practical solutions. While the internet has brought positive changes, its hidden parts like the Dark Web pose significant risks to vulnerable people. This study sheds light on the dangers women and children face online, such as human trafficking, child exploitation, and cyber bullying. Its goal is to safeguard their online safety and well-being by promoting prevention and policy adoption.Abstract
How to Cite
Downloads
Similar Articles
- Sanjeev Kumar, Saurabh Charaya, Rachna Mehta, Multi-Metric Evaluation Framework for Machine Learning-Based Load Prediction in e-Governance Systems , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Pravin P. P, J. Arunshankar, Development of digital twin for PMDC motor control loop , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Amanda Quist Okronipa, Isaac Asampana, Jones Yeboah Nyame, Exploring e-learning system loyalty: The role of system quality and satisfaction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Reshmi J S, Sandhya S, Ahir embroidery of Kutch , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- D. Padma Prabha, C. Victoria Priscilla, A combined framework based on LSTM autoencoder and XGBoost with adaptive threshold classification for credit card fraud detection , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- G Vanitha, M Kasthuri, A robust feature selection approach for high-dimensional medical data classification using enhanced correlation attribute evaluation , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Vaishali Yeole, Rushikesh Yeole, Pradheep Manisekaran, Analysis and prediction of stomach cancer using machine learning , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- M. Deepika, I Antonitte Vinoline, Optimization of an Advanced Integrated Inventory Model Considering Shortages and Deterioration across Varying Demand Functions , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- S. Sathiyavathi, V. Mathivannan, Selvi. Sabhanayakam, Cd4+ CELL COUNTS IN THE PATIENTS OF HIV INFECTED IN SALEM , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Allin Joe D, Thiyagarajan Krishnan, A modified sierpinski carpet antenna structure for multiband wireless applications , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 21 22 23 24 25 26 27 28 29 30 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- G Gayathri Devi, R Radha, Smart alerting services: Safeguarding women and children in the digital age , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper

